micro1 and the Handshake AI Fellowship are two of the most-asked-about platforms among readers picking between AI training contracts in 2026. They overlap in one important way — both pay well and both screen seriously — and diverge in just about every other dimension. micro1's bread and butter is the working professional with 3–10 years of industry experience. Handshake's is the graduate student, postdoc, or freshly-credentialed researcher.
This is the honest comparison: pay tiers, who each one actually hires, how the applications differ, and which to apply to first depending on your background.
TL;DR — the verdict
- micro1 has a wider range and faster onboarding. Most accepted contributors land $40–$90/hr; specialists with rare skills push $100–$130/hr. Application-to-first-payment is often 7–14 days.
- Handshake AI's pay is tighter but published openly. Most Fellowship roles list $75–$125/hr publicly on the opportunity page, with the mode around $90–$100/hr. Lower ceiling than micro1's specialists; higher floor than micro1's generalists.
- micro1 prefers verifiable industry depth. Software engineers from real production teams, finance pros with deal sheets, medical staff with active licenses. The interview is run by an AI agent that drills your résumé.
- Handshake AI is built around academic credentials. PhD candidates, postdocs, master's students in technical fields, adjuncts looking for structured part-time research engagements.
- Handshake gives predictable hours; micro1 is spikier. Fellowships run 10–20 hrs/week for fixed periods. micro1 engagements are more variable — busy weeks, quiet weeks.
Pay: where the dollars actually land
micro1
micro1 publishes per-role ranges starting around $30/hr (generalist evaluation) and going to $130+/hr for hard-to-source specialists (specific software stacks, multilingual reviewers, niche medical sub-specialties). The mode for accepted contributors is around $50–$80/hr. Payment is weekly; ramp time after acceptance is usually 1–2 weeks. See our micro1 review for the full breakdown.
Handshake AI Fellowship
Handshake AI shows pay openly on each opportunity page. Typical range is $75–$125/hr, clustered around $90–$100/hr. PhD-level niche specialists push toward the top of the range. Generalist roles cluster at the bottom. Payment cadence varies by Fellowship but is usually biweekly.
The pay comparison isn't apples-to-apples because the two platforms hire different populations. A senior software engineer with 8 years at a top-tier company will earn more on micro1 ($80–$110/hr) than on Handshake ($75–$95/hr for the same engineer if they even qualified for a Fellowship in their domain). A second-year PhD candidate in physics will earn more on Handshake ($90–$110/hr Fellowship) than they would on micro1 (likely placed at $40–$60/hr generalist work, if accepted at all).
Who each platform actually hires
micro1's core hire
- Working software engineers, especially full-stack and backend with verifiable production code
- Domain SMEs — finance, healthcare, law — with 3+ years applied experience
- Multilingual evaluators (especially Spanish, Mandarin, German, French, Japanese) with native-or-near-native fluency
- Specialists in narrow technical stacks (Swift/iOS, COBOL, Rust, embedded systems)
- Subject-matter writers and editors with published bylines or editorial experience
Handshake AI's core hire
- PhD candidates and postdocs in mathematics, physics, chemistry, biology, economics, computer science
- Master's students in specialized technical programs
- Adjunct faculty and lecturers looking for structured part-time contract work alongside teaching
- Early-career researchers (2–5 years out of school) in research-adjacent roles
- Domain-specific PhD-level academics (e.g. linguistics, history, philosophy) where labs need humanistic reasoning evaluation
Application process: what to expect
micro1
Apply at micro1.ai — upload your résumé, and the system schedules an AI-led interview within 1–3 days. Expect a 30–60 minute video screen with a conversational agent that probes your work history. The interview style is fast and follow-up-heavy — it's looking for verifiability of claims, not academic polish.
For tactics that consistently land in the upper half of micro1's pay range, see the AI training interview guide.
Handshake AI Fellowship
Apply through joinhandshake.com (existing student/professional career platform) or directly through the Fellowship opportunity page. Submit a résumé and, for most roles, a short cover-letter equivalent or research statement. Interviews are usually human-led — a 20–45 minute video call with a research lead or coordinator — though some Fellowships have moved to AI-led screens. Decision timeline varies from one to three weeks.
Which one should you apply to first?
- You're a working professional with 3+ years industry experience (not a PhD) → micro1 first. Faster onboarding, broader catalog of role types, and the AI-led interview is forgiving of non-academic backgrounds.
- You're a PhD candidate, postdoc, or recent PhD → Handshake AI first. The Fellowship is structurally built for you, and the predictability of weekly hours fits academic schedules. Apply to micro1 in parallel for additional inventory.
- You're a master's student in a technical discipline → Handshake AI for structure, micro1 as a parallel if you have applied experience to leverage.
- You're a multilingual native speaker (non-English primary) → micro1. The Handshake AI Fellowship leans English-first; micro1 has explicit native- language tracks.
- You want the highest absolute ceiling → neither, choose Mercor instead. Mercor pays the top tier across all three; micro1 and Handshake both cap lower.
Can you run both at the same time?
Yes. No exclusivity clause at the platform level on either side. Many top earners do exactly this — a Handshake Fellowship for the structured weekly hours, micro1 as the spot-market top-up when a Fellowship slot is between engagements. The two platforms don't share data; each evaluates independently. Track hours separately, expect a 1099-NEC from each. See our AI training taxes guide for the multi-platform tax mechanics.
The honest weakness of each
micro1's downside
Pay ceiling is lower than the credentialed-senior-expert tier on Mercor. The interview is fast and forgiving but the placements skew toward generalist work — if you have a deep specialty, you may feel underpaid for what you can produce. See the comparison — Mercor vs micro1.
Handshake AI's downside
Narrower hiring criteria. If you don't fit the academic- researcher profile, your application sits in limbo. The Fellowship model also means you commit to a defined engagement period — less flexible than micro1's spot-market structure.
How to apply to both efficiently
Submit to both on the same evening with the same résumé. The applications are independent enough that you'll need to engage with each separately — budget 60 minutes for micro1's interview and 45 minutes for Handshake's. Don't over-tailor; verifiability matters more than packaging in both processes.
For pay-tier context across the broader market, see our AI training pay breakdown. If you're trying to choose among more than two platforms, the four-way featured platforms roundup compares the top four side-by-side.