Software Engineer – AI Training (Freelance)
Andovar
Salary: $$$
Type:
Tiempo completo
Tags: JavaScript Java Python Git
You will be contributing to projects with Andovar, a global provider of language data and AI solutions, supporting the development of high-quality training data for AI systems.
In this role, you will work with a distributed network of contributors via the Outlier platform, engaging in tasks that involve real-world codebases and structured technical evaluations. These contributions help improve the accuracy and performance of AI models across different use cases.
The work is project-based and fully remote, requiring strong analytical thinking, attention to detail, and the ability to work independently within defined guidelines.
Find this vacancy on Get on Board.
Job Functions
As a Software Engineer – AI Training, you will:
- Build and maintain Docker environments to support reproducible workflows
- Develop scripts (Python/Bash) to automate tasks and streamline processes
- Review and analyze code changes, including GitHub patches
- Explore unfamiliar repositories to identify core logic and functionality
- Develop evaluation criteria or rubrics to assess AI-generated outputs
- Collaborate with a global network of contributors to support high-quality deliverables
Performance Expectations:
- Complete the initial onboarding task within 3–7 days of activation
- Meet weekly contribution targets aligned with project requirements
- Maintain a quality score of at least 80% on submitted tasks
- Demonstrate consistent and reliable participation
Selection Process:
- Shortlisted candidates will be required to complete a technical assessment provided by Andovar
- The assessment evaluates coding, reasoning, and code comprehension skills relevant to the project tasks
- Please note: the use of AI tools during the assessment is not permitted
Required Qualifications
- 3–8 years of experience in software engineering or a related field
- Strong proficiency in Python, JavaScript, or Java
- Experience working with APIs, backend systems, or production environments
- Familiarity with Git, command-line tools, and scripting workflows
- Basic knowledge of Docker and containerization
- Strong analytical skills and the ability to quickly understand new codebases
Preferred Skills
- Experience with code reviews, debugging, or optimization
- Exposure to collaborative or distributed development environments
- Prior experience contributing to AI/ML-related projects
Conditions
- Fully remote, contract-based, work-from-anywhere setup
- Opportunity to contribute to AI training and evaluation projects
- Collaboration with a global network of contributors
- Performance-based, project-driven engagement
Source: GetOnBoard | Main Category: Other