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About the role

We’re building a vetted pool of Data Annotators / AI Trainers to support foundation-model teams on tasks like dataset creation, prompt/reply evaluation, safety & policy reviews, and code/text/language annotation. If you’re detail-oriented, comfortable following precise guidelines, and curious about how modern AI models are trained and evaluated, we’d love to hear from you.

What you’ll do

• Label, review, and refine datasets for LLMs and multimodal models (text, code, image/video where applicable).
• Evaluate model outputs for quality, safety, helpfulness, and factuality using clear rubrics.
• Create and/or improve prompts, test cases, and edge-case examples.
• Follow annotation guidelines meticulously; propose clarifications when instructions are ambiguous.
• Meet quality and throughput targets; participate in calibration sessions and feedback loops.

You might be a great fit if you have

• Strong written English and the ability to follow detailed instructions with high accuracy.
• Proven attention to detail and consistency across repetitive tasks.
• Comfort using spreadsheets, annotation tools, and basic productivity software.
• Reliability: you can commit to steady weekly hours and hit deadlines.

Nice to have (not required)

• Experience with data labeling, RLHF/RLAIF, red-teaming, content moderation, or user research.
• Domain skills (one or more): software engineering / code review, math, finance, healthcare/biology, legal, education, safety policy, multilingual/language expertise.
• Familiarity with modern LLMs, prompt engineering, or evaluation frameworks.

Contract & logistics

• Type: Contractor / part-time (project-based).
• Location: Remote (global).
• Hours: Flexible; typical engagements range from 10–30 hrs/week.
• Compensation: Competitive and based on task type, seniority, and domain skills. (We’ll share project-specific rates during the screening step.)

How to apply (fastest route)

• Submit this short form: Name • Email • Country/Time zone • Weekly availability • Top domain skills (if any).
• Include 1–2 paragraphs on a past example of detail-oriented work (annotation, QA, grading, moderation, research, etc.).
• Share a CV or LinkedIn.
• If selected, you’ll receive a paid or brief trial task to calibrate quality and fit.

Notes

• We hire continuously and match annotators to projects based on skills and availability.
• Some projects require NDAs and policy/compliance training.
• Please do not apply via agencies—individual contractors only.

Job Type: Contract

Pay: $25.00 - $80.00 per hour

Expected hours: 20 – 40 per week

Work Location: Remote