AI Trainer (SWE)

micro1; United States; A distancia; USD 28.000 - 96.000; Jornada completa

Descripción de la vacante

micro1 is seeking experienced AI trainers to help build and evaluate training tasks for AI systems. You will craft reference solutions, tests, and graders, using Python and other languages to design robust benchmarks.

Strong evidence of public skill and open-source contributions is valued. Expertise with Linux, Docker, CI/CD, and version control will help you review submissions and improve evaluation pipelines. Immediate availability is preferred.

Formación

• Paid experience in training or evaluating AI systems.
• Evidence of public skill proof is requested.
• Proven ability to benchmark AI models.
• Experience with Linux, Docker, CI/CD is preferred.

Responsabilidades

• Develop AI training tasks, reference solutions, tests, and graders.
• Review and critique AI trainer submissions and provide feedback.

Conocimientos

Python

Public Proof of Skill

Java

JavaScript

TypeScript

Rust

C++

C#

Go

Software design

Debugging

Testing

Version control

Dependency management

Herramientas

Git

GitHub

Linux

Docker

CI/CD

Descripción del empleo

Required Qualifications

• Prior paid experience training, evaluating, benchmarking, or improving AI systems.
• Strong practical proficiency with Python.
• Professional experience with at least one additional programming language, such as Java, JavaScript, TypeScript, Rust, C++, C#, or Go.
• Strong knowledge of software design, debugging, testing, version control, and dependency management.
• Public Proof of Skill

Strong applicants should provide evidence such as:

• Substantial GitHub or GitLab repositories
• Meaningful open-source contributions
• Maintainer or core-contributor responsibilities
• Codeforces, ICPC, Olympiad, or other programming-competition results
• Public developer tools, libraries, systems, or technical projects
• Technical publications, benchmarks, or engineering write-ups

Preferred Qualifications

• Experience creating AI-training tasks, reference solutions, tests, graders, or benchmark problems.
• Experience reviewing other AI trainers’ technical submissions.
• Codeforces rating of approximately 1900 or higher, or strong results in another programming competition.
• Experience with Linux, Docker, CI/CD, command-line tools, or sandboxed environments.
• Prior experience with long-horizon or agentic coding evaluations.
• Availability to begin immediately.

Compensation

Compensation is output-based. Experts are paid for tasks that meet project specifications and quality requirements. Task availability and completion time may vary.

Email

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