Mostly Python and Go, with some Rust, C, and Ct+. A trajectory runs about 100 steps. WHAT YOU JUDGE ... Did it game the grader instead of solving the task (e.g., weakening a test or hardcoding an ...
Mostly Python and Go, with some Rust, C, and Ct+. A trajectory runs about 100 steps. WHAT YOU JUDGE ... Did it game the grader instead of solving the task (e.g., weakening a test or hardcoding an ...
AI Agent Trajectory Annotator and Reviewer
Columbus, OH · On-site
$20 - $30/hr
Mostly Python and Go, with some Rust, C, and Ct+. A trajectory runs about 100 steps. WHAT YOU JUDGE ... Did it game the grader instead of solving the task (e.g., weakening a test or hardcoding an ...
AI Agent Trajectory Annotator and Reviewer
Columbus, OH · On-site
$20 - $30/hr
Mostly Python and Go, with some Rust, C, and Ct+. A trajectory runs about 100 steps. WHAT YOU JUDGE ... Did it game the grader instead of solving the task (e.g., weakening a test or hardcoding an ...
Rust Game information
See salary details
$7.93 - $10.62
2% of jobs
$10.62 - $13.31
17% of jobs
$14.41 is the 25th percentile. Wages below this are outliers.
$13.31 - $16
15% of jobs
$16 - $18.68
8% of jobs
The median wage is $19.80 / hr.
$18.68 - $21.37
19% of jobs
$23.25 is the 75th percentile. Wages above this are outliers.
$21.37 - $24.06
20% of jobs
$24.06 - $26.75
7% of jobs
$26.75 - $29.44
5% of jobs
$29.44 - $32.12
3% of jobs
$32.12 - $34.81
2% of jobs
$34.81 - $37.50
1% of jobs
$7
$20
$37
How much do rust game jobs pay per hour?
As of Sep 11, 2026, the average hourly pay for rust game in the United States is $20.94, according to ZipRecruiter salary data. Most workers in this role earn between $14.18 and $23.80 per hour, depending on experience, location, and employer.
What are popular job titles related to Rust Game jobs?
For Rust Game jobs, the most frequently searched job titles are:
- Rust Backend Developer
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AI Agent Trajectory Annotator and Reviewer
Columbus, OH
Bespoke Labs
$20 - $30/hr
Full-time
Posted 11 days ago
Job description
Type: Contract, hourly
Location: Remote
Hours: 20–30 per week
Pay: $20–30/hour, based on experience and language coverage
Start: Immediate
ABOUT THE ROLE
We evaluate how well advanced AI coding agents solve real engineering problems. An agent is given a real open source codebase inside a container and a hard task, then works on its own for 80 to 250 steps. A trajectory is the full record of that run — every command, result, and decision.
You will do two jobs, and you should expect either on any given day.
•Annotate — Read a trajectory nobody has looked at yet and judge it step by step.
• Review — Take an existing annotation, written by our AI tooling or another person, and confirm, correct, or reject it.
TASKS YOU'LL SEE
• Feature build — Add a working feature to a live library without breaking anything that already worked.
• Rebuild — Work out what a compiled tool does by running it, then rebuild it to match its output, exit codes, and file effects.
• Bug hunt — Find and fix twenty undocumented bugs across a dozen files with no test suite, then record what caused them.
Mostly Python and Go, with some Rust, C, and Ct+. A trajectory runs about 100 steps.
WHAT YOU JUDGE IN A TRAJECTORY
• Was the command right for the state the environment was actually in?
• Did the agent read the previous output correctly?
• Was the step wrong, or only inefficient — these are scored differently.
• Where did the run first go off course — usually earlier than where it visibly broke.
• Did the agent notice its own mistake and recover, or keep building on a false assumption?
• Did it game the grader instead of solving the task (e.g., weakening a test or hardcoding an expected value)?
WHAT WE NEED FROM YOU
• Experience — 2+ years in software engineering, DevOps, or site reliability, with real debugging in real codebases.
• Languages — Strong in Python or Go, and able to read a language you've never used.
• Linux — Comfortable with logs, running processes, build failures, and containers.
• Workflow — Everyday Git, diffs, pull requests, and issue tracking.
• Debugging — Able to work with no test suite and no error message pointing at the cause.
• Focus — Able to hold context across a long run, because step 74 can depend on step 12.
• Writing — Clear English, since every judgement needs an explanation another engineer can check.