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

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