Negotiable
Undetermined
Remote
London, England, United Kingdom
Summary: The Machine Learning Engineer - AI Data Trainer role at Alignerr involves collaborating with leading AI research teams to create and refine AI models. The position focuses on drafting organized logs of AI reasoning and actions to generate training datasets for practical problem-solving. Candidates will work remotely, committing between 10 to 40 hours per week, with competitive hourly compensation. A strong background in machine learning and technical disciplines is essential for success in this role.
Key Responsibilities:
- Draft precise, organized logical logs for sophisticated technical challenges.
- Record sequential strategizing and choice-making workflows.
- Generate training datasets that illustrate proficient tool interaction for AI models.
Key Skills:
- Professional expertise in Machine Learning, Engineering, or a technical discipline.
- Superb skill in explaining intricate logical processes and methodologies clearly.
- Critical thinking skills to audit and refine AI-generated reasoning steps.
- Master's Degree or PhD Preferred.
- Prior experience with data annotation, data quality, or evaluation systems.
Salary (Rate): £70.00 hourly
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Location: Remote
About The Job
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. This initiative focuses on recording how an AI reasons and executes actions sequentially to handle practical assignments. Specialists draft precise, organized logs demonstrating strategizing, tool implementation, and choice-making, producing the data required to teach models to solve problems consistently in actual environments.
Organization : Alignerr
Position : Machine Learning Engineer - AI Data Trainer
Type : Hourly Contract
Compensation : $50–$70 /hour
Location : Remote
Commitment : 10–40 hours/week
What You’ll Do
- Draft precise, organized logical logs for sophisticated technical challenges.
- Record sequential strategizing and choice-making workflows.
- Generate training datasets that illustrate proficient tool interaction for AI models.
Requirements
- Professional expertise in Machine Learning, Engineering, or a technical discipline.
- Superb skill in explaining intricate logical processes and methodologies clearly.
- Critical thinking skills to audit and refine AI-generated reasoning steps.
- Master's Degree or PhD Preferred
- Prior experience with data annotation, data quality, or evaluation systems.
- Master's Degree or PhD
Why Join Us
- Competitive pay and flexible remote work.
- Collaborate with a team working on cutting-edge AI projects.
- Exposure to advanced LLMs and how they’re trained.
- Freelance perks: autonomy, flexibility, and global collaboration.
- Potential for contract extension.
Application Process (Takes 15-20 min)
- Submit your resume
- Complete a short screening
- Project matching and onboarding
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.