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micro1

Pediatric Hospitalist

micro1Healthcare

$80-$125/hr

Worldwide

About this role

Role Title: Pediatric Hospitalist Role Type: Contractor Location: Remote micro1 is engaging Pediatric Hospitalist Physicians to contribute their medical expertise to a customer project focused on inpatient care and documentation standards. In this role, you’ll apply your pediatric clinical training to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. Scope of Work 1. Review medical records, including FHIR data and clinical notes, for AI training. 2. Check whether clinical information and claims are supported by the medical record. 3. Review inpatient pediatric documentation, including HPI, PMH, birth and developmental history, immunization status, assessments, and plans. 4. Follow clear guidelines and apply the same standards consistently. 5. Identify missing, incorrect, or inconsistent information in medical records, including weight-based dosing and age-appropriate clinical details. 6. Share feedback to help improve AI models and data quality. 7. Communicate clearly with the project team about your work and findings. Preferred Qualifications 1. At least 5 years of hospitalist experience. 2. MD or DO, board certified in Pediatrics (or Pediatrics with a Pediatric Hospital Medicine subspecialty certification). 3. Current or recent inpatient pediatric hospitalist experience (within the last 2 years). 4. Strong understanding of inpatient documentation and hospital workflows, including admission, daily progress notes, transitions of care, and discharge. 5. Comfortable reviewing clinical notes and raw medical record data. 6. Strong attention to detail and ability to follow clear guidelines consistently. 7. Experience with chart review, clinical documentation improvement, utilization review, or medical coding/QA is a plus. 8. Experience across a broad pediatric patient mix, such as general pediatrics, newborn/nursery care, pediatric subspecialty co-management, or complex chronic conditions, is a plus.

Mercor

Business Intelligence Analyst Talent Network

MercorBusiness and Consulting / Software, AI and Data

$70-$120/hr

Worldwide

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Ethos

Customer Success / Support Operations Lead

EthosHR and Customer Experience

$70/hr

Worldwide

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DataAnnotation

Portfolio Manager

DataAnnotationFinance

Up to $40–$125+ / hour

Worldwide

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SME

Psychology Quality Assurance Lead (QAL)

SMEEducation and Humanities / Business and Consulting / Healthcare

Up to $80/hr

United States

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About this role

In this hourly, remote contractor role, you will work as a Psychology Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across psychology-focused AI training projects. You will review AI-generated psychology content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for psychological accuracy, theory application, research literacy, ethical awareness, mental-health safety, diagnostic caution, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong psychology expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your psychology quality leadership will directly help improve the world’s premier AI models by ensuring that psychology training data is accurate, ethical, appropriately cautious, research-informed, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network. Requirements - Bachelor’s, Master’s, PhD, PsyD, or equivalent professional background in Psychology, Clinical Psychology, Counseling, Behavioral Science, Cognitive Science, Neuroscience, Social Work, Psychiatry-adjacent research, Education, or a closely related field. - Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback. - 3+ years of experience in psychology research, clinical/counseling settings, behavioral science, teaching, academic writing, mental-health content review, psychological assessment, or related workflows. - Strong understanding of psychological theories, research methods, cognitive and social psychology, developmental psychology, abnormal psychology, ethics, evidence-based practice, and mental-health safety considerations. - Ability to evaluate psychology content against detailed rubrics and identify issues such as overdiagnosis, unsafe advice, unsupported claims, flawed study interpretation, pseudoscience, stigmatizing language, or inappropriate therapeutic recommendations. - Familiarity with areas such as CBT, developmental psychology, personality, trauma-informed communication, behavioral interventions, mental-health literacy, research design, statistics, and ethical guidelines is preferred. - Experience leading or supporting remote teams of researchers, clinicians, educators, reviewers, annotators, or QAs is strongly preferred. - Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. - Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation. - Experience with AI training, data annotation, LLM evaluation, psychology QA, mental-health content review, or rubric-based review is a strong plus. Responsibilities - Quality monitoring: Spot-check psychology items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. - Psychology review: Evaluate AI-generated psychology explanations, mental-health content, research summaries, behavioral guidance, theory applications, and safety-sensitive responses for accuracy and appropriateness. - Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and psychology-specific review standards. - Question handling: Respond to trainer/QA questions clearly and promptly, especially around psychological concepts, evidence quality, ethical boundaries, mental-health safety, diagnostic caution, and rubric interpretation. - Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. - Documentation: Create and maintain psychology project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. - Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and psychology-specific review requirements. - Quality alignment: Ensure all trainers and QAs apply psychology-review guidelines consistently and understand updates as projects evolve. - Safety and ethics review: Flag unsafe, overconfident, stigmatizing, pseudoscientific, diagnostically inappropriate, or crisis-insensitive psychology content. - Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for psychology AI training projects. Skills - Research Methods - Mental Health - LLM Evaluation - Ethics - Behavioral Science - AI Training - Cognitive Psychology - Trainer Feedback - Psychology - Clinical Psychology Additional skills - Quality Assurance - Content Review - Rubric-Based Evaluation - Psychological Assessment - Clinical Psychology - Counseling Psychology - Behavioral Science - Cognitive Psychology - Social Psychology - Developmental Psychology - Abnormal Psychology - Research Methods - Research Design - Statistics - Evidence-Based Practice - Ethics in Psychology - Mental Health Safety - CBT (Cognitive Behavioral Therapy) - Trauma-Informed Care - Mental Health Literacy - Academic Writing - Scientific Writing - Peer Review - Team Leadership - Remote Team Management - Documentation - Calibration - Data Annotation - LLM Evaluation - Google Sheets

micro1

Senior Photographer

micro1Design & Creative10 days ago

$55-$105/hr

Worldwide

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Mercor

Radiologist

MercorHealthcare14 days ago

$350/hr

Worldwide

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Ethos

Proposal Manager / Bid Writer

EthosBusiness and Consulting

$70/hr

Worldwide

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DataAnnotation

Icelandic Specialist

DataAnnotationLanguages

Up to $25–$40 / hour

Worldwide

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micro1

Senior Machinist / Construction & Field Ops Lead

micro1

$55-$100/hr

Worldwide

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About this role

Role Title: Senior Machinist / Construction & Field Ops Lead Pay: $40–$60/hour Location: Global, fully remote Job Type: Contractor (~10 hours per week) Schedule: Flexible—you can choose the hours and days you work, including weekends if desired as long as you're active micro1 is engaging experienced Senior Machinists and Construction & Field Operations Leads to contribute to a dynamic customer project focused on technical drawing comprehension and field plan execution. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is ideal for those who are passionate about elevating industry standards, enjoy sharing their knowledge, and excel in clear, articulate written and verbal communication. Scope of Work 1. Review and interpret advanced machining drawings and Geometric Dimensioning & Tolerancing (GD&T) specifications to provide detailed, real-world feedback. 2. Analyze and comment on CNC setup and programming documentation, offering insights into best practices and troubleshooting common challenges. 3. Evaluate construction plan sheets, identifying potential issues, missing information, or clarity improvements based on practical field experience. Preferred Qualifications 1. 10+ years of experience as a master machinist, construction superintendent, drilling engineer, mine planner, cabinetmaker, or fire officer, with a strong track record of interpreting technical drawings and field plans. 2. Comprehensive understanding of US construction, fire, or mining codes and standards. 3. Expertise in CNC programming, machining processes, and GD&T application. Process 1. Apply to the role and complete the screening questions. 2. Complete an AI interview of approximately 20-30 minutes. 3. Complete the hiring manager review. Start Timeline & Availability We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.

SME

R Team Lead

SMESoftware, AI and Data / STEM

Up to $65/hr

United States

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About this role

In this hourly, remote contractor role, you will work as an R Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across R programming and data-analysis AI training projects. You will review AI-generated R code and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure contributors follow expected standards. You will assess work for code correctness, statistical validity, data reasoning, package usage, reproducibility, debugging accuracy, readability, visualization quality, formatting, instruction-following, and rubric adherence. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your R quality leadership will help ensure R training data is accurate, reproducible, statistically sound, clearly explained, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network. Requirements - Bachelor’s or Master’s degree in Statistics, Data Science, Mathematics, Computer Science, Economics, Biology, Social Sciences, or related quantitative field. - Strong grasp of English to follow guidelines and provide clear feedback. - 3+ years of experience using R for data analysis, statistics, research, analytics, teaching, coding, or technical review. - Strong understanding of R syntax, data frames, vectors, functions, lists, factors, missing data, tidyverse, base R, statistical modeling, and visualization. - Ability to identify issues such as incorrect statistical assumptions, invalid package usage, non-reproducible code, data leakage, flawed transformations, hallucinated functions, or misleading charts. - Familiarity with dplyr, tidyr, ggplot2, readr, stringr, purrr, data.table, Shiny, R Markdown/Quarto, caret/tidymodels, lme4, survival, Git, and reproducible workflows is preferred. - Experience leading remote teams of trainers, analysts, reviewers, educators, or QAs is strongly preferred. - Comfortable with Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and PM systems. - Highly organized and able to maintain style guides, trackers, FAQs, honeypots, calibration tasks, and onboarding materials. - Experience with AI training, data annotation, LLM evaluation, code QA, or rubric-based review is a strong plus. Responsibilities - Spot-check R programming and data-analysis items. - Review AI-generated R code, statistical explanations, visualizations, data-wrangling steps, and modeling workflows. - Communicate project updates and R-specific standards on Discord. - Answer trainer/QA questions around R syntax, packages, statistical reasoning, reproducibility, plots, and rubric interpretation. - DM inactive contributors and manage activation tracking. - Create and maintain R documentation, style guides, examples, trackers, FAQs, honeypots, and onboarding materials. - Run onboarding/training calls for R contributors. - Flag misleading statistical claims, invalid methods, non-reproducible workflows, or hallucinated packages/functions. - Improve QA processes based on recurring gaps. Skills - Statistics - LLM Evaluation - Code Review - R QA - Data Analysis - Visualization - R - AI Training - Trainer Feedback - tidyverse Additional skills - R - Tidyverse - Base R - Data Analysis - Statistical Modeling - Data Visualization - dplyr - tidyr - ggplot2 - readr - stringr - purrr - data.table - Shiny - R Markdown - Quarto - tidymodels - caret - lme4 - survival - Reproducible Research - Git - GitHub - Code Review - Technical Writing - Quality Assurance (QA) - Team Leadership - Remote Team Management - LLM Evaluation - Data Annotation

Mercor

Applied Physics Benchmark Specialist

MercorSTEM

$61-$77/hr

Worldwide

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About this role

Role Overview We are seeking expert physicists to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core physics domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities. You will be assigned one of two task types: - Question Authoring — Create original, challenging multiple-choice questions in your area of physics expertise, rate their difficulty, and submit them for review. - Question Verification — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made. Physics Domains Covered Semiconductor Physics, Nanoelectronics & Spintronics, Photonics, Quantum Optics & Ultrafast, Quantum Sensing & Metrology, Plasma Physics & Fusion Energy, Nonlinear Dynamics & Turbulence, Geophysics & Reservoir Simulation. Key Responsibilities - Author original physics questions that test deep conceptual understanding, not surface-level recall - Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement - Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above) - Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers - Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format - Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, university repositories) - For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made Ideal Qualifications - PhD or doctoral candidate in Physics, Applied Physics, Astrophysics, or a closely related field - Master's degree considered for candidates with exceptional depth in a specific subdomain - Strong command of graduate-level physics concepts and mathematical formalism - Experience with rigorous academic problem design or physics olympiad writing is a strong plus - Excellent written English and ability to express complex ideas clearly and concisely More About the Opportunity - Expected commitment: 10+ hours/week - Asynchronous, fully remote work

Ethos

Media / Journalism / Communications Professional

EthosBusiness and Consulting

$70/hr

Worldwide

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DataAnnotation

Venture Capitalist

DataAnnotationFinance

Up to $40–$125+ / hour

Worldwide

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micro1

Japanese Language Expert

micro1Languages / Audio & Voice / Generalist (No degree)

$20-$36/hr

Worldwide

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About this role

micro1 is engaging Japanese Transcription Experts to contribute to a customer project focused on audio transcription and AI training. In this role, you'll apply your Japanese language expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work 1. Transcribe Japanese audio samples accurately, capturing content, context, speaker nuances, and linguistic details. 2. Review, edit, and validate Japanese transcripts for completeness, clarity, and adherence to project guidelines. 3. Correct errors, inconsistencies, or ambiguities in machine-generated or human-created transcriptions. 4. Annotate audio files or transcripts with relevant metadata and contextual notes as required. 5. Collaborate with project managers and other experts to ensure consistency and quality across deliverables. 6. Use transcription tools and platforms to process and submit work according to project requirements. 7. Contribute linguistic and cultural insights to improve AI model understanding and performance. Preferred Qualifications 1. Native-level fluency in Japanese, with strong comprehension of both spoken and written language. 2. Professional experience in audio transcription, linguistic review, localization, or related language work is strongly encouraged. 3. Familiarity with transcription conventions, audio review workflows, annotation tools, or speech data projects is preferred. 4. Keen attention to detail, accuracy, and the ability to recognize subtle language, pronunciation, or context differences in audio samples. 5. Proficiency in English to follow project instructions and manage occasional English-language content. 6. Previous participation in AI training data, data annotation, or language technology projects is a plus. 7. Strong organizational skills and commitment to delivering high-quality, timely submissions.

SME

Mathematics Quality Assurance Lead (QAL)

SMESTEM / Business and Consulting / Software, AI and Data

Up to $25/hr

India

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About this role

In this hourly, remote contractor role, you will work as a Mathematics Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across mathematics AI training projects. You will review AI-generated math content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for mathematical accuracy, logical reasoning, calculation correctness, proof validity, notation quality, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong mathematics expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote technical teams. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your mathematics quality leadership will directly help improve the world’s premier AI models by ensuring that math training data is accurate, logically sound, clearly explained, well-documented, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Requirements - Bachelor’s, Master’s, or PhD degree in Mathematics, Applied Mathematics, Statistics, Physics, Engineering, Computer Science, Mathematics Education, or a closely related quantitative field. - Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear mathematical feedback in English. - 3+ years of professional experience in mathematics, teaching, tutoring, research, quantitative analysis, technical writing, curriculum development, problem creation, assessment design, or math-content review. - Strong understanding of core mathematics topics such as algebra, geometry, trigonometry, calculus, linear algebra, discrete mathematics, probability, statistics, number theory, combinatorics, differential equations, and mathematical proofs. - Ability to evaluate math content against detailed rubrics and identify issues such as incorrect assumptions, flawed reasoning, invalid proofs, calculation errors, notation problems, missing steps, hallucinated facts, or incomplete explanations. - Comfortable reviewing both conceptual explanations and step-by-step solutions, including whether each step logically follows from the previous one. - Familiarity with mathematical tools or workflows such as LaTeX, Python, MATLAB, R, WolframAlpha/Mathematica, GeoGebra, Desmos, spreadsheet modeling, or symbolic computation tools is preferred. - Experience leading or supporting remote teams of trainers, annotators, reviewers, educators, technical writers, or QAs is strongly preferred. - Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. - Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and other quality documentation. - Experience with AI training, data annotation, large language models, prompt/response evaluation, mathematical content QA, or rubric-based LLM evaluation is a strong plus. - Native fluency in Punjabi Responsibilities - Quality monitoring: Spot-check mathematics items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. - Mathematical review: Evaluate AI-generated math explanations, proofs, derivations, calculations, word-problem solutions, diagrams/descriptions, and step-by-step reasoning for correctness and clarity. - Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and math-specific review standards. - Question handling: Respond to trainer/QA questions clearly and promptly, especially around reasoning validity, notation, assumptions, solution methods, proof structure, formatting, and rubric interpretation. - Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. - Documentation: Create and maintain mathematics project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. - Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and mathematics-specific review requirements. - Quality alignment: Ensure all trainers and QAs apply mathematics guidelines consistently and understand updates as projects evolve. - Error-pattern analysis: Identify recurring issues such as skipped reasoning steps, invalid simplifications, wrong formulas, notation inconsistencies, arithmetic mistakes, or answers that are correct but poorly justified. - Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for mathematics AI training projects. Skills - Proof Review - Problem Solving - LLM Evaluation - Technical Review - Math QA - Mathematical Reasoning - AI Training - Documentation - Mathematics - Trainer Feedback Additional skills - Mathematics Content QA - Quality Assurance - Rubric-Based Evaluation - Mathematical Proofreading - Proof Verification - Technical Writing - Curriculum Development - Assessment Design - Problem Writing - Algebra - Geometry - Trigonometry - Calculus - Linear Algebra - Discrete Mathematics - Probability - Statistics - Number Theory - Combinatorics - Differential Equations - Mathematical Proofs - LaTeX - Python - MATLAB - R - Wolfram Mathematica - WolframAlpha - GeoGebra - Desmos - Google Sheets

Mercor

Bilingual Indonesian Generalist Expert — AI Safety

MercorLanguages / Generalist (No degree)

$18-$22/hr

Not specified

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Ethos

Financial Services Compliance / AI Regulatory

EthosFinance

$100/hr

Worldwide

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DataAnnotation

Tax Accountant

DataAnnotationFinance

Up to $40–$125+ / hour

Worldwide

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micro1

Graphic and Editorial Design Expert

micro1Writing & Editing / Design & Creative3 days ago

$50-$105/hr

Worldwide

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About this role

Opportunity Snapshot Pay: $55 to $100 per hour Location: Fully remote, worldwide You’ll need: Professional experience designing for print, web or publications for a company, studio, publisher or client Your tasks: Review designs and briefs, judge layout, readability and brief match, and explain your decisions in writing You’ll review graphic and editorial design work and judge it: what works, what doesn’t, and why. This is a good fit if you work as a graphic designer, editorial designer, layout designer or art director and make decisions about how a page, a publication or a brand piece looks and reads. Scope of Work 1. Look at designs (posters, covers, page layouts, brand pieces) and judge which one is stronger for a given brief and audience. 2. Check hierarchy, spacing, type choices, color and how text and images work together. 3. Flag problems that would show up in production (wrong format, low resolution, margins, print color). 4. Check that a design fits the brief and the brand or publication style. 5. Write a short explanation for each decision so a reviewer can follow your reasoning. What we’re looking for 1. Professional work as a graphic designer, editorial designer, layout designer, publication designer, art director or brand designer. 2. Daily use of professional tools such as InDesign, Illustrator, Photoshop or Figma. 3. Experience with real jobs: briefs, revisions, production files and delivery to a client or publisher. 4. Comfort explaining why one design works and another doesn’t. 5. Clear written English. How the selection process works 1. Apply with your resume and a short profile. 2. Complete the curation interview. It is a short conversation about your experience with exhibitions, collections and attribution. You don’t need to prepare, look at anything or write anything. Finishing it is what moves your application forward. 3. Review. We check your experience against what the project needs. 4. Onboarding and first task. If selected, you get the guidelines and start with an initial task, which is reviewed before you continue.

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