TeracCoding & software eval
Software Engineers: Paid Code Review for AI Agent Evaluation
$65/hr
About this role, in Terac's words
We are conducting a paid study on the programming tasks and environments used to test artificial intelligence agents. We need experienced software engineers to review, build, and verify realistic coding challenges and evaluation harnesses.
What you'll do
What you would do
- Review realistic programming tasks for accuracy and difficulty
- Verify the logic and test cases within provided evaluation harnesses
- Assess whether coding environments effectively measure software engineering skills
- Walk us through your thought process while analyzing complex code structures
Candidate background
What this role asks for
- Software Engineering
- AI Evaluation
- Code Review
- Test Automation
Read from the posting's own words: show the exact sentences
- Software Engineering: “listed by the platform under required skills: Software Engineering”
- AI Evaluation: “listed by the platform under required skills: AI Evaluation”
- Code Review: “listed by the platform under required skills: Code Review”
- Test Automation: “listed by the platform under required skills: Test Automation”
Quoted from selected sections of Terac's posting. The full posting may state other conditions. Read the full posting
A closer look
More context, when you need it.
Full job descriptionThe original posting, in Terac's words
Posted by Terac, reproduced here so you can judge the role before clicking. Original posting ↗
We are conducting a paid study on the programming tasks and environments used to test artificial intelligence agents. We need experienced software engineers to review, build, and verify realistic coding challenges and evaluation harnesses.
What We're Researching
We're running a paid study on the coding environments and programming tasks used to benchmark artificial intelligence agents. Creating robust evaluation harnesses ensures that AI models are tested against realistic software engineering scenarios. This work directly feeds into improving how autonomous agents handle complex coding objectives. How It Works
During this remote session, you will review a series of coding tasks and their corresponding evaluation harnesses. You will assess whether the programming challenges accurately reflect real-world software engineering problems. We will ask you to verify the logic, test cases, and overall structure of the environments provided. Your technical feedback will be captured through a guided conversation and screen-sharing exercises. Who This Is For
We are looking for practicing software engineers with strong backgrounds in building and testing complex systems. Candidates should have direct experience writing test suites, evaluation harnesses, or comprehensive code reviews. We welcome backend engineers, full-stack developers, machine learning engineers, and software architects.
What you would do
• Review realistic programming tasks for accuracy and difficulty
• Verify the logic and test cases within provided evaluation harnesses
• Assess whether coding environments effectively measure software engineering skills
• Walk us through your thought process while analyzing complex code structures
Who this is for
• Active professional experience as a software engineer
• Hands-on experience building or maintaining test suites and evaluation harnesses
• Comfortable reviewing code and explaining technical concepts aloud
• Familiarity with complex real-world software architecture
Working with TeracPay, getting started and work, from Terac's own pages
What the platform publishes in general. These are not extra terms confirmed for this particular role.
- Getting paid
- Paid through Virtual Incentives: PayPal, Venmo, a prepaid Visa card or direct cashout in the US, PayPal elsewhere. A payout starts once a submission is approved, and cashing out needs a $12.50 balance and a verified ID. terac.com/docs/experts/policies/payout-policy, terac.com/docs/experts/how-to/payments, terac.com/whats-new/2026-05-31-may-2026-updates
- Before your first paid task
- A verified government ID through Persona before you can apply, then a screening step for each study: a short form, an AI voice interview or a file upload. A study you are screened out of is not paid. terac.com/docs/experts/how-to/apply, terac.com/docs/experts/policies/rewards
- How much work
- Terac guarantees no number of opportunities and no earnings. Manually reviewed applications hear back in 1 to 5 business days. terac.com/docs/experts/policies/terms, terac.com/docs/experts/support/faq
- Contract
- Independent contractor, with Terac Inc. of California. terac.com/legal/terms-of-service
Read on the pages linked above on 23 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 Terac's posting. How we count.
Pay across the field: Coding & software eval
Across 393 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 $95. This role's top rate, $65, is in the middle half. Of the 140 distinct rates we count, 33 are lower and 102 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| Alignerr | 137 | $50 to $400 · median $100 |
| micro1 | 46 | $35 to $350 · median $110 |
| Handshake AI | 43 | $47 to $125 · median $80 |
| Meridial (Invisible) | 34 | $22 to $150 · median $60 |
| Mercor | 33 | $60 to $200 · median $105 |
Sources and listing historyWhere this information comes from
This listing's history
- First seen here on 2 Oct 2026, and still on Terac's list when we last read it on 12 Oct 2026.
- The listed pay has not changed since then.
- Posted by Terac
- First seen by AIPayList
- Last seen live
- Listing ID
- XJ4I47Bp6ExVHmNY
Pay as the source states it: “Terac listing record, advertisedRate 65.00 USD HOURLY”.
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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