Location: Remote
Machine Learning Engineer - AI Data Trainer
- Organization: Alignerr
- Position: Machine Learning Engineer - AI Data Trainer
- Type: Hourly Contract
- Compensation: $50–$70 /hour
- Location: Remote
- Commitment: 10–40 hours/week
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.
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.
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Machine Learning Engineer in London employer: Alignerr Corp.
Join a leading global AI research firm that values innovation and collaboration, offering a dynamic remote work environment for an Applied Physicist. With competitive pay, flexible scheduling, and a strong emphasis on employee growth, this role provides the opportunity to engage in cutting-edge projects while contributing to the advancement of AI technology. Experience a supportive culture that encourages creativity and professional development, making it an ideal place for those passionate about physics and AI.
