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Handshake AIPhDMaster's

Engineering Lead

Opportunity Overview Handshake is looking for senior engineering leaders to support AI research through flexible, part-time contract work. This is not a traditional job. You’ll draw on your experience leading engineering teams and running multi-week or multi-month projects…

Field
Engineering
Where
United States
Commitment
part time
Asks for
PhD, Master's
Posted
8 days ago

Pay data for your profession: Engineering AI trainer jobs · PhD AI trainer jobs

How this pay compares

Open engineering roles that ask for a PhD have a median of $94/hr (34 roles).

Among platforms with 10 or more priced engineering roles, Mercor has the highest median ($88/hr across 35 roles) and micro1 the lowest ($60/hr across 28).

Computed from 2,746 open roles we track across Mercor, micro1, Handshake AI, Alignerr, Appen and OpenTrain AI, refreshed daily. Midpoints of listed ranges; “up to” ceilings are left out of medians.

What you would earn at this rate

Per week, before tax

$2,925

Per month, if the work is steady

$12,675

Tax
Contract pay arrives with no tax withheld. A US contractor at this rate and these hours would set aside about $3,204 a month for self-employment tax plus federal income tax at the 12% bracket (25%, before state tax). Outside the US, your own country's rules apply.

Assumes paid hours only; unpaid assessments, onboarding and gaps between projects lower the real figure. Full take-home calculator · Track what you actually earn

Open engineering roles on each platform

The same kind of work, priced on every platform we track, with the best-paid open role on each.

“Up to” rows list only ceilings, so their median is a maximum, not comparable with the range midpoints above them.

All 263 open engineering roles →

The full listing

As posted on Handshake AI. See the original

Opportunity Overview

Handshake is looking for senior engineering leaders to support AI research through flexible, part-time contract work. This is not a traditional job. You’ll draw on your experience leading engineering teams and running multi-week or multi-month projects, across fields such as electrical, mechanical, civil, structural, industrial, chemical, controls, and aerospace engineering, to evaluate AI-generated work and provide feedback that helps AI reason like an experienced engineering lead. The Handshake AI program runs year-round, with project opportunities opening periodically across different areas of expertise.

This is an ongoing, project-based opportunity you can take on alongside your current role.

What You’ll Do

  • Write the project briefs a lead would hand to a team, including scope, workstreams, and inputs, for engineering work that takes weeks or months to complete
  • Create rubrics that evaluate the full set of deliverables for a project
  • Review and evaluate AI-generated work on long, multi-step projects for technical accuracy, completeness, and alignment with how engineering work is actually run
  • Provide clear, structured written feedback to help improve AI model performance
  • Work remotely and complete tasks at your own pace, with no set schedule or minimum hour requirement

Qualifications

  • Hands-on experience: At least 5 total years of professional engineering experience in industry (with at least 2 of those years being hands-on engineering work, such as design, analysis, test, build, or commissioning)
  • Leadership experience: At least 3 years leading work in your own engineering field, as a team lead, manager, director, or project or program lead running multi-week or multi-month projects
  • Domain: Experience in one or more of the following areas: Electrical, mechanical, civil, or structural engineering
  • Industrial, manufacturing, or physical engineering
  • Chemical and process engineering
  • Controls and PLC systems
  • Aerospace engineering
  • Biomedical devices
  • Piping, MEP, or construction project management with a technical engineering background

Additional qualifications (not required, but strengthen your application)

  • Experience writing detailed technical documents, such as specifications, test plans, SOPs, white papers, regulatory filings, or bills of materials
  • Experience in verification and validation, commissioning, or quality assurance
  • Experience coordinating across functions or with vendors, or leading work that spans multiple engineering disciplines
  • Experience in regulated industries, such as medical devices, aerospace and defense, oil and gas, or utilities
  • Prior experience with AI training or prompt writing

This may not be a fit if

  • Your engineering experience has primarily been in academia (holding a PhD is fine if your career has been in industry)

Required for all applicants

  • Must be based in the United States and have US work authorization
  • Must have 10+ years of total engineering experience, with 3+ years being in a engineering leadership position
  • Strong written communication and attention to detail
  • Ability to explain complex engineering concepts clearly
  • Ability to work independently in a remote, asynchronous environment

From applying to your first payment on Handshake AI

  1. 1

    Apply and verify

    Apply and verify your identity on the Handshake AI site.

  2. 2

    Matching

    Handshake matches people to projects by background and invites you by email when one fits. Some projects require an assessment first.

  3. 3

    Onboarding

    Onboarding is paid only when a project's terms say so.

  4. 4

    First payment

    The pay week runs Monday to Sunday (Pacific). Payouts go out through Stripe by Wednesday afternoon and usually become withdrawable about two days later.

Sources: Handshake AI help: Getting started, Handshake AI help: Fellowship expectations, Handshake AI payments processing, Earning on Handshake AI

Full Handshake AI profile: watch-outs and the public record →

Pay history

Handshake AI has changed the listed pay once since Nov 3, 2026:

  • Nov 4, 2026$200 → $195/hrlowered

What workers report about Handshake AI

Anonymous reports from people who applied or worked there: whether they got work, what they were paid and how fast.

Other engineering roles

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