Handshake AICoding & software eval
Production Engineer
up to $85/hr
About this role, in Handshake AI's words
Handshake is looking for energy industry professionals to support AI research through flexible, hourly contract work. This is not a traditional job. You’ll draw on your hands-on experience with reservoir engineering, subsurface analysis, and production operations to evaluate AI-generated content and provide feedback that helps AI better understand subsurface workflows and reservoir engineering practices.
Candidate background
What this role asks for
- 2+ yrs experience
Read from the posting's own words: show the exact sentences
- 2+ yrs experience: “…projects as they become available. Qualifications • At least 2 years of professional experience in reservoir engineering, subsurface analysis, or production operations, in roles such…”
A closer look
More context, when you need it.
Full job descriptionThe original posting, in Handshake AI's words
Posted by Handshake AI, reproduced here so you can judge the role before clicking. Original posting ↗
Overview
Handshake is looking for energy industry professionals to support AI research through flexible, hourly contract work. This is not a traditional job. You’ll draw on your hands-on experience with reservoir engineering, subsurface analysis, and production operations to evaluate AI-generated content and provide feedback that helps AI better understand subsurface workflows and reservoir engineering practices.
This is an ongoing, project-based opportunity you can take on alongside anything else you have going on.
Details
• This project involves using your professional experience and hands-on knowledge of the tools you use in your daily work to create expert-level training data and evaluate AI-generated responses for accuracy and relevance. No prior AI experience required.
• Fully remote with a flexible, asynchronous schedule and no minimum hour requirement; most contributors work approximately 5–20 hours per week when participating in an active project.
• Placement depends on current project needs, with opportunities to be considered for future projects as they become available.
Qualifications
• At least 2 years of professional experience in reservoir engineering, subsurface analysis, or production operations, in roles such as:
• Reservoir Engineer or Petrophysicist
• Production Engineer or Reserves Analyst
• Or equivalent roles in the energy industry
• Hands-on experience with one or more of the following tools:
• Petrel
• ARIES
• Techlog
• Avocet
• AVEVA PI
• Strong written communication skills, attention to detail, and the ability to work independently and asynchronously with AI research teams.
Working with Handshake AIPay, getting started and work, from Handshake AI's own pages
What the platform publishes in general. These are not extra terms confirmed for this particular role.
- Getting paid
- Paid weekly through Stripe. Handshake says it usually sends payouts by Wednesday afternoon for the previous Monday to Sunday week, and a payment can often take 48 hours to process and appear. Some projects set their own schedule. Non-US tax residents face 30% US withholding unless they certify the work was done outside the US. ai-support.joinhandshake.com/articles/32263614087575, ai-support.joinhandshake.com/articles/33238954868759, ai-support.joinhandshake.com/articles/39964143294615
- Before your first paid task
- Its pages give different answers on who can join. Its AI page says you must be based in the US, its help center says people outside the US can join by invitation only, and some of its postings ask for Indian work authorization or a base in Canada. Identity verification, tax details and a payout method come before paid work, and a failed assessment usually cannot be retaken. joinhandshake.com/ai, ai-support.joinhandshake.com/articles/37145099086743, joinhandshake.com/ai/opportunities/physics-expert-india, joinhandshake.com/ai/opportunities/ai-evaluation-speciali..., ai-support.joinhandshake.com/articles/32244754462615, ai-support.joinhandshake.com/articles/36935929970711, ai-support.joinhandshake.com/articles/41129932721431
- How much work
- Applying does not guarantee a project, and there is no fixed timeline for an invitation. Projects can start, pause or end at short notice. ai-support.joinhandshake.com/articles/32244169079703, ai-support.joinhandshake.com/articles/33238954868759, ai-support.joinhandshake.com/articles/38150760132119
- Contract
- Contractor, under an agreement with Handshake AI Solutions, LLC that says you are not an employee. joinhandshake.com/legal/contractor-agreement
Read on the pages linked above on 24 Sep 2026. Platforms change these terms, so check the linked page before you rely on one.
How does the pay compare?Across Coding & software eval roles, not this role alone
From our own daily reads of every open listing on the platforms we follow, not from Handshake AI's posting. How we count.
Pay across the field: Coding & software eval
Across 392 roles in this field with a stated hourly rate in US dollars, on 14 platforms, the middle half pays $65 to $120 an hour at the top of the range, and the median is $90. This role's top rate, $85, is in the middle half. Of the 139 distinct rates we count, 58 are lower and 78 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| Alignerr | 127 | $50 to $400 · median $100 |
| micro1 | 49 | $60 to $400 · median $110 |
| Handshake AI (this platform) | 42 | $47 to $125 · median $80 |
| Mercor | 36 | $60 to $200 · median $110 |
| Meridial (Invisible) | 34 | $22 to $150 · median $60 |
Sources and listing historyWhere this information comes from
This listing's history
- First seen here on 6 Sep 2026, and still on Handshake AI's list when we last read it on 25 Oct 2026.
- The listed pay has not changed since then.
- Posted by Handshake AI
- First seen by AIPayList
- Last seen live
- Listing ID
- 10991379
Pay as the source states it: “Up to $85/hr”.
Platforms sometimes change a rate after posting. Every listing here is re-read at least once a day and corrected when its source moves, so a difference you see on the platform is usually a change made since the last read. How freshness works.
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