Personal Trainer

$25–40/hrrate as listed

micro1 is contracting certified personal trainers to review AI-generated fitness programming, exercise instruction, and safety guidance for a client's model training project. Work is remote and task-based, with observed rates in the $25–40/hr range depending on assignment and screening outcome.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.

What the work involves

You will spend most of your time reading and responding to AI outputs about fitness: a generated 12-week hypertrophy block, a cueing script for a barbell hinge, a response to a client with a recent lumbar disc injury, a nutrition-adjacent claim that shades into scope-of-practice territory. Your job is to judge whether the output is programmatically sound, safe for the stated population, and something you would actually say to a paying client — then write down exactly why, in language a non-trainer reviewer can follow. Some assignments ask you to author reference material from scratch (progressions, contraindication notes, motivational framing for a specific client profile); others ask you to compare two model responses and defend a ranking.

Reviewing program design for progressive overload, volume, recovery, and goal alignment
Flagging unsafe exercise selection, bad cueing, or missing screening questions
Marking where a model overstates certainty or drifts into medical or dietetic advice
Writing rationales that are specific enough to be reproducible by another expert

What the platform screens for

micro1 runs an AI-led interview before any project match. It probes whether your experience is real and specific: which certification, current or lapsed, which populations you've actually trained, how you handled a client who reported pain mid-session. Expect follow-ups that go one layer deeper than your first answer — vague or textbook responses tend to end screens early. Written clarity matters as much as domain depth, because the deliverable is prose. No AI or annotation background is required.

Logistics

Fully remote, contractor status, asynchronous within task deadlines. Volume fluctuates with client demand — treat it as supplemental rather than a replacement for training income. Most contributors report 10–20 hours per week when a project is active, with occasional calibration calls or written guideline updates between batches. Pay bands are as observed on the platform and not guaranteed for any individual assignment.

What they look for

Motivation
Communication
Commitment and Reliability
Program Design
Health and Safety

Before you apply

Would you pass this screen?

Drawn from what this listing actually requires. Answered in your browser — nothing is sent to us, and we do not store your answers.

Do you hold a current (non-expired) certification from a recognized fitness authority such as NASM, ACE, ACSM, ISSARL, IFBB, or equivalent?
Current fitness certification · required
Have you worked as a paid Personal Trainer for a minimum of 5 years?
5+ years professional training experience · required
Are you able to produce written fitness documentation (program notes, feedback, assessments) in clear English suitable for a professional, non-fitness audience?
Written communication capability · preferred

0 of 3 answered

Included with this listing

Interview prep — 11 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: Can you navigate trade-offs in program design, prioritize client safety over aesthetic outcomes, and communicate realistic expectations—exactly what you'd do evaluating AI-generated fitness programs for soundness.
A strong answer: A strong answer names a specific client scenario, shows you assessed their constraints (time, equipment, injury history), made a deliberate choice about which goal took priority and why, and explained that choice to the client in plain language. It demonstrates you know when a program is unsound before it causes harm.
Where people lose it: Saying you'd 'do everything' or 'customize it all' signals you don't actually understand training trade-offs. Vague answers about 'listening to the client' without showing you made a judgment call suggest you won't catch errors in AI-generated programs.