Engineering opportunity guide
Coding AI Training Jobs for Engineers
Coding AI training jobs use software-engineering judgment to improve or evaluate models that write, explain, transform, and debug code. Assignments can involve creating test cases, reviewing generated solutions, diagnosing failures, ranking responses, writing reference implementations, or evaluating technical explanations. This page filters Synthenova’s recently verified inventory for engineering-related work and explains how it differs from a conventional product-development role.
Verified opportunities
172
Last source check
Jul 30, 2026
Newest source posting
Jul 30, 2026
Disclosed monthly range
$640–$64,000,000/mo
Counts cover active, deduplicated records checked within seven days. Monthly values are normalized estimates from disclosed source rates, not guaranteed earnings.
Common technical tasks
A coding evaluator may inspect a generated answer for correctness, complexity, security, edge cases, and instruction compliance. A prompt author may design problems that reveal a model’s strengths and failures. Other projects require running code, repairing tests, grading repositories, annotating tool traces, or explaining why one implementation is more maintainable than another.
The task environment can be narrower than production engineering. You may work inside a sandbox, follow a strict rubric, or evaluate isolated code rather than ship a long-lived service. Precision and reproducibility matter: a useful review names the failing behavior, demonstrates it with a test, and separates required fixes from stylistic preference.
Experience and preparation
Relevant experience can include backend, frontend, mobile, data, infrastructure, security, algorithms, or language-specific development. Some opportunities need broad senior judgment; others focus on one language or framework. Read the named stack and expected difficulty rather than assuming that every coding role accepts the same profile.
Prepare by practicing concise code review, writing adversarial tests, explaining trade-offs, and solving problems without relying on undocumented assumptions. Be ready to discuss complexity, error handling, input validation, and maintainability. If an assessment permits tools, use them transparently and still verify the result yourself.
Contract economics
Many engineering AI projects are contract or hourly engagements rather than salaried software jobs. Verify expected weekly availability, whether tasks arrive continuously, the time-tracking method, payment for onboarding or qualification, and the treatment of rework. A high hourly rate can coexist with irregular volume.
Rates can vary by seniority, language, country, project urgency, and assessment performance. Synthenova preserves disclosed source units and does not infer a currency where the source has not supplied one. Monthly comparison values assume forty hours per week and should not be read as guaranteed monthly earnings.
Choosing a trustworthy opportunity
Check that the application destination belongs to the named source, the role was verified recently, and the requirements match the description. Look for a specific engineering domain, credible task examples, an explicit engagement type, and understandable compensation. Remote roles should identify applicant countries or other location limits.
Never purchase assessment answers, share account credentials, expose proprietary code from another employer, or install unknown software at a recruiter’s request. Open the original listing before applying because availability and evaluation rules can change after Synthenova’s last refresh.
Checked in the latest source snapshot
Current opportunities
Mercor · 65/100 source quality
Finance Expert — Quant Research & Systematic Trading
Dorado · Remote
Checked Jul 30, 2026
Mercor · 65/100 source quality
UI / UX Design Expert
Dorado · Remote
Checked Jul 30, 2026
Mercor · 65/100 source quality
Sales Engineering Expert
Dorado · Remote
Checked Jul 30, 2026
Mercor · 65/100 source quality
Data Scientist Talent Network
Company not disclosed · Remote
Checked Jul 30, 2026
micro1 · 65/100 source quality
AI trainer
micro1 · Location not disclosed
Checked Jul 30, 2026
micro1 · 65/100 source quality
Electrical & Circuit Design Expert
micro1 · Location not disclosed
Checked Jul 30, 2026
micro1 · 65/100 source quality
GitHub Contributor
micro1 · Location not disclosed
Checked Jul 30, 2026
micro1 · 65/100 source quality
Aerodynamics Expert
micro1 · Location not disclosed
Checked Jul 30, 2026
micro1 · 65/100 source quality
Junior Mainframe Developer (COBOL)
micro1 · Location not disclosed
Checked Jul 30, 2026
micro1 · 65/100 source quality
Mainframe Developer (COBOL)
micro1 · Location not disclosed
Checked Jul 30, 2026
micro1 · 65/100 source quality
Engineering & Data tools Specialist
micro1 · Location not disclosed
Checked Jul 30, 2026
micro1 · 65/100 source quality
Semiconductor Devices & Microelectronics Expert
micro1 · Location not disclosed
Checked Jul 30, 2026