Remote ML Engineer - AI Training & Coding Challenges

DataAnnotation; Missouri; Remote; USD 69,000 - 138,000; Full time

Benefits offered by this job

Remote work from home

Choose projects & schedule

Competitive hourly pay

Job summary

DataAnnotation is seeking software engineers to advance AI development within a flexible contractor framework. You will join a large community of engineers working on front-end, back-end, full-stack, ML, and DevOps tasks, collaborating on challenges that push state‑of‑the‑art AI models.

Contributors can pick projects and set schedules that fit their availability, with paid hourly work starting at $50–$100+ per hour.

Qualifications

• Fluency in English (native or bilingual) is required.
• Proficiency in at least one modern programming language (Python, JavaScript/TypeScript, Java, C/C++, Go, Kotlin, Swift, etc.).
• Strong software engineering fundamentals including debugging, problem solving, and code review.
• Excellent written communication skills are essential.
• Previous experience as a Software Engineer or related role is preferred.

Responsibilities

• Create and refine coding environments, unit tests, and verifiers.
• Design and solve diverse coding problems used to train AI systems.
• Write clear, high‑quality code and provide technical explanations.
• Evaluate model trajectories for accuracy, performance, readability, and best practices.
• Identify bugs and edge cases in AI‑generated solutions and propose improvements.
• Provide structured feedback to improve future AI models.

Skills

English fluency

Programming languages

Software engineering fundamentals

Written communication

Software Engineer experience

Education

Bachelor's degree (completed or in progress)

Job description

DataAnnotation is seeking software engineers to advance AI development within a flexible contractor framework. You will join a large community of engineers working on front-end, back-end, full-stack, ML, and DevOps tasks, collaborating on challenges that push state‑of‑the‑art AI models.

Contributors can pick projects and set schedules that fit their availability, with paid hourly work starting at $50–$100+ per hour.