Work remotely as a SWE Bench Engineer using Rust to test how AI models fix real-world software bugs. This 2 to 3 week contractor assignment pays $15 per approved task and requires 20+ hours weekly.

$15/label

Compensation

Contract, part-time

Engagement

Remote

Location

Oct 30, 2026

Posted

Open in 30 countries

India + more

- Argentina
- Bangladesh
- Belize
- Bolivia
- Brazil
- Chile
- Colombia
- Costa Rica
- Dominican Republic
- Ecuador
- Egypt
- El Salvador
- Ghana
- Guatemala
- Guyana
- Haiti
- Honduras
- India
- Mexico
- Nicaragua
- Nigeria
- Pakistan
- Panama
- Paraguay
- Peru
- Puerto Rico
- Suriname
- Türkiye
- Uruguay
- Venezuela

The work

You will evaluate language-model performance on real-world bug-fixing tasks in public GitHub repositories and open-source libraries. The work combines software setup, issue review, testing, and practical code execution.

You will also work with researchers to identify repositories and issues that create useful challenges for language models.

- Analyze and triage issues in open-source libraries.
- Configure repositories, including Docker-based development environments and local setups.
- Review unit-test coverage and overall test quality.




- Run and modify codebases locally to assess AI performance on bug-fixing tasks.
- Use Rust and related software engineering skills to understand complex projects.

What it pays and takes

This is a remote contractor assignment lasting approximately 2 to 3 weeks. Payment is made per approved task rather than as a standard hourly rate.

- $15 per approved task.
- 20+ hours per week.
- Remote work for contractors in India, Pakistan, Nigeria, Egypt, Ghana, Bangladesh, Turkey, and eligible countries in Latin America.
- At least 3 years of software engineering experience.
- Strong Rust experience.
- Fluency in English.
- Proficiency with Git, Docker, and basic software pipeline setup.
- Ability to navigate complex codebases and run, modify, and test real-world projects locally.
- Experience contributing to or evaluating open-source projects is helpful.

About AI training work

AI training uses human work to help artificial intelligence learn from examples, including software tasks and model evaluations. People with strong technical experience are needed to judge whether model outputs work correctly and to prepare reliable training data.

Requirements

- Experience: Entry level

📌 SWE Bench Engineer (Argentina)
🏢 OpenTrain AI
📍 Argentina