Senior AI Trainer
Micro1 • Remote
Education
Not stated
Type
Hourly
Pay Rate
$14–$36/hr
Actively Hiring
50 openings
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From the Micro1 listing
Role Title: Senior AI Trainer Role Type: Contractor, Remote Location: Northern America and Germany. micro1 is engaging Senior AI Trainers to collaborate on a customer-driven project enhancing AI system quality through expert-level model training and evaluation. In this role, you'll apply your generalist expertise and hands-on experience with AI products to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
Key Responsibilities
- Evaluate the performance of AI chat and search tools under standardized, repeatable conditions.
- Apply detailed grading guidelines to accurately evaluate, rank, and annotate model responses, providing structured feedback that improves model performance.
- Write, refine, and stress-test prompts that probe model capabilities, ensuring coverage of diverse scenarios, edge cases, and user intents.
- Verify consistency and accuracy across evaluations, correcting discrepancies between ratings and the underlying rubric or guidelines.
- Utilize AI training tools and platforms to record findings and submit evaluation datasets in alignment with project standards and milestones.
- Collaborate with project trainers and contributors to resolve ambiguities, refine guidelines, and ensure evaluation consistency across the team.
- Participate in ongoing quality reviews, incorporating feedback to maintain rigorous training and annotation standards.
Required Skills and Qualifications
- Exceptional attention to detail and accuracy in reviewing and evaluating AI-generated content.
- Strong written and verbal communication skills for effective collaboration, reporting, and timely updates on progress and challenges.
- Demonstrated time management and self-organization abilities for independent, remote project participation.
- Analytical and problem-solving mindset, with a proactive approach to resolving evaluation challenges.
Preferred Qualifications
- Proven experience with AI model training, RLHF, data labeling, or similar data-centric evaluation projects.
- Familiarity with AI products and tools, including prompt engineering and understanding of model behaviors and limitations.
- Experience writing evaluation rubrics, grading model outputs, or reviewing AI responses for accuracy, helpfulness, and safety.
- Background in AI training, machine learning data preparation, or LLM-focused projects (strongly preferred).
Requirements
- Video Annotation
- Attention to Detail
- Data Labeling
- Video Annotation Tools
- Time Management
- Must be eligible to work in Remote
How long hiring takes
Across the AI training platforms we refer candidates to, the median gap between referral and hire is about 30 days. It varies by platform and role, so treat it as a rough guide for this one.
Interview Prep
Sample questions for a AI Trainer role, written in-house to help you prepare.
How do you evaluate whether a model's response to a prompt satisfies the instruction, versus just sounding plausible?
I go back to the instruction line by line and check each requirement against the response individually, rather than reading the response holistically and asking if it feels right. A confident, well-written response can still quietly skip a constraint the prompt asked for.
What's your process for writing a rating rubric that two different reviewers would apply the same way?
I define each rating level with a concrete example rather than an abstract description, since two reviewers can read the same adjective differently but usually agree on whether a response matches a given example. I test the rubric on a handful of edge cases with another reviewer before rolling it out.
How do you decide when a prompt itself is ambiguous versus when the model's response is simply wrong?
I ask whether a reasonable person could interpret the prompt more than one way and still be following the instruction correctly. If the response fails under every reasonable reading, it's a model error; if it only fails under one specific reading, the prompt needs to be flagged as ambiguous instead.
How do you document the reasoning behind a rating so someone reviewing your work later understands the decision?
I write a short note pointing to the specific part of the response that drove the rating, so a reviewer can see what I was reacting to. A rating with no reasoning attached is hard to audit and even harder to disagree with productively.
Why this role
Being remote means this Senior AI Trainer position pays $14–$36/hr regardless of your zip code, opening up Data Science work that used to require living in one of a handful of cities.
Talent pool
We're light on Data Science candidates
We've matched 9 people with a Data Science background against 293 Data Science listings we've tracked, so most go out without one. Set up a profile and we'll consider you for a role like this one.
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Common questions
What does the Micro1 application process look like?
Expect a screening interview with Zara, Micro1's AI recruiter. Prepare for it like a real video call: good lighting, clear audio, verbal answers to technical questions. A human manager reviews the recording afterward, and some roles add a short skills assessment on top.
Can I apply to Micro1 from outside the US or UK?
Yes. Micro1 accepts applicants from most countries worldwide, unlike DataAnnotation or Outlier, both of which cap access to a handful of English-speaking countries. Most roles still require strong written and spoken English.
What does task-based AI training work look like?
Practical, hands-on data work: recording short videos, categorizing images, rating text responses, or analyzing data. Tasks are designed to be short and distinct, typically 5 to 60 minutes each.
What does asynchronous AI training work mean in practice?
No set hours, no check-ins, no meetings. You log in when you want, pick up an available task, complete it, and submit; nobody is waiting on you in real time. That's different from remote employment, where you're expected online during business hours. The tradeoff: you're competing with others for available tasks, so an empty queue means there's simply nothing to do until more work is released.
What does Data Science work look like for a Senior AI Trainer?
Tasks here are scoped to Data Science, not generic labeling. As a Senior AI Trainer, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Data Science) rather than following a one-size-fits-all rubric. If you don't have hands-on Data Science background, this is likely not the right listing to start with.
What specific skills does this listing call for?
Video Annotation, Attention to Detail, Data Labeling, and Video Annotation Tools are named directly in the listing. If you don't have hands-on experience with these, expect the screening process to test for them directly rather than accepting adjacent experience as a substitute.
What does the 'openings' count on this listing mean?
It's Micro1's live count of how many candidates it's still trying to place for this specific role, 50 right now, not a countdown on your individual application. A higher number signals more active demand; it doesn't lower the bar for acceptance.
How much does this specific role pay?
This listing is posted at $14–$36/hr, an hourly rate. The range reflects experience level and negotiated terms, not a placeholder, so where you land in it depends on your background and the assessment. Pay can change between when we last checked the listing and when you apply, so confirm the current number on the platform's own application page before committing time.
What happens when I click Apply on this listing?
You'll be taken to Micro1's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.