Senior Machine Learning Engineer, AI Data Trainer
Alignerr
Job Overview
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Job Description
About the Senior Machine Learning Engineer, AI Data Trainer Role at Alignerr
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. This project is about capturing how an LLM reasons and takes actions step by step to solve real tasks. Annotators write clear, structured traces that show planning, tool use, and decision making, creating data that trains models to reason more reliably in real world scenarios.
Organization: AlignerrPosition: Senior Machine Learning Engineer, AI Data TrainerType: Hourly ContractCompensation: $60–$80 /hourLocation: RemoteCommitment: 10–40 hours/week
What You’ll Do
- Lead the authorship of complex, high-fidelity reasoning traces for sophisticated technical tasks.
- Mentor and review structured traces to ensure optimal planning and tool-use documentation.
- Design data strategies that help LLMs navigate intricate real-world decision-making scenarios.
Requirements
- Significant experience in Machine Learning or related technical fields, with a focus on model reasoning.
- Proven ability to decompose complex problems into clear, logical, and documented steps.
- Experience with advanced LLM evaluation and training methodologies.
Preferred Qualifications
- Prior experience with data annotation, data quality, or evaluation systems.
- Top-tier Kaggle competition results (e.g., Grandmaster/Master level), demonstrating a deep understanding of model performance and feature engineering.
Why Join Alignerr?
- 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.
Key skills/competency
- Machine Learning
- AI
- Large Language Models (LLMs)
- Data Annotation
- Model Reasoning
- Data Strategy
- Deep Learning
- Natural Language Processing
- Feature Engineering
- Problem Decomposition
How to Get Hired at Alignerr
- Research Alignerr's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume for Alignerr: Highlight machine learning, LLM, and data annotation expertise to align with the role.
- Showcase problem-solving expertise: Provide concrete examples of decomposing complex problems into logical steps.
- Prepare for AI-specific questions: Be ready to discuss LLM evaluation, training methodologies, and model reasoning.
- Demonstrate passion for AI: Share relevant personal projects or insights into current AI advancements during interviews.
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