Senior Machine Learning Expert
Alignerr · India
- Hybrid
- Contract
- $100,000 / year
- India
Job highlights
- Author AI reasoning traces for frontier LLMs.
- Shape AI systems' planning and decision-making.
- Fully remote, flexible contract for ML experts.
- Intellectually stimulating, high-impact AI work.
- Contribute to next-generation LLM reasoning.
About the role
Senior Machine Learning Expert (AI Training)
About The Role
What if your deep expertise in machine learning could directly shape how the world's most advanced AI systems think, plan, and solve problems?
We're looking for Senior Machine Learning Experts to author high-fidelity reasoning traces — the structured, step-by-step records of how an intelligent system should approach and solve complex real-world tasks. This data becomes the backbone of training for frontier LLMs, directly influencing how reliably they reason, use tools, and make decisions at scale.
This is a fully remote, flexible contract role built for senior ML practitioners who want meaningful, intellectually stimulating work at the cutting edge of AI development.
Organization: Alignerr
Type: Hourly Contract
Commitment: 10–40 hours/week
Location: Remote
What You'll Do
- Author complex, high-fidelity reasoning traces that capture how an LLM should plan, reason, and act across sophisticated technical tasks
- Design data strategies that enable LLMs to navigate intricate, multi-step real-world decision-making scenarios
- Review and mentor structured traces to ensure optimal documentation of planning, tool use, and logical progression
- Apply senior-level architectural insight to guarantee consistent, reliable model decision-making patterns
- Identify gaps and failure modes in AI reasoning and contribute structured solutions through annotated examples
Who You Are
- Seasoned ML practitioner with significant experience in machine learning, deep learning, or related technical fields
- Skilled at decomposing complex problems into clear, logical, well-documented steps
- Experienced with advanced LLM evaluation, training methodologies, or model reasoning workflows
- Detail-oriented thinker who communicates technical concepts with precision and clarity
- Self-directed and comfortable working independently in an asynchronous remote environment
Nice to Have
- Prior experience with data annotation, data quality assurance, or AI evaluation systems
- Top-tier Kaggle competition results (Grandmaster or Master level), demonstrating deep expertise in model performance and feature engineering
- Familiarity with prompt engineering, chain-of-thought methods, or reasoning trace construction
- Background in AI safety, alignment research, or RLHF workflows
Why Join Us
- Work on frontier AI projects in direct collaboration with leading research labs
- Fully remote and async — work on your own schedule, from anywhere in the world
- Freelance autonomy with intellectually stimulating, high-impact work
- Rare opportunity to contribute directly to how the next generation of LLMs learn to reason
- Potential for ongoing work and contract extension as new projects launch
Key skills/competency
- Machine Learning
- Deep Learning
- LLM Training
- Reasoning Traces
- AI Development
- Data Strategy
- Model Evaluation
- Problem Decomposition
- Prompt Engineering
- AI Safety
Skills & topics
- Senior Machine Learning Expert
- Machine Learning
- Deep Learning
- LLM Training
- AI Development
- Reasoning Traces
- Data Strategy
- Model Evaluation
- Remote Work
- Contract Role
How to get hired
- Tailor your resume: Highlight machine learning, deep learning, and LLM expertise. Quantify achievements in AI training or model reasoning.
- Showcase problem-solving: Detail how you decompose complex tasks and document logical steps.
- Demonstrate remote readiness: Emphasize self-direction and asynchronous communication skills.
- Align with values: Research Alignerr's focus on AI alignment and frontier development.
- Prepare for technical interviews: Be ready to discuss AI evaluation and reasoning workflows.
Technical preparation
Master LLM reasoning trace authoring.,Practice decomposing complex technical tasks.,Study advanced LLM evaluation methodologies.,Familiarize with AI safety concepts.
Behavioral questions
Describe a complex problem you solved.,How do you ensure clear technical communication?,Explain your approach to independent work.,How do you mentor others technically?
Frequently asked questions
- What is the role of a Senior Machine Learning Expert at Alignerr?
- As a Senior Machine Learning Expert at Alignerr, you will author high-fidelity reasoning traces to train frontier LLMs. This involves documenting how AI systems should approach complex tasks, enabling them to reason, use tools, and make decisions reliably. You'll also design data strategies and apply architectural insights to ensure consistent model behavior.
- Is this Senior Machine Learning Expert position remote?
- Yes, this is a fully remote contract role. Alignerr offers flexibility in terms of schedule and location, allowing you to work from anywhere asynchronously.
- What kind of projects will I work on as a Senior Machine Learning Expert at Alignerr?
- You will work on cutting-edge AI projects, directly contributing to the training of frontier LLMs. The focus is on developing their reasoning capabilities, tool use, and decision-making processes through detailed reasoning traces.
- What are the key technical skills required for this Senior Machine Learning Expert role?
- Key technical skills include significant experience in machine learning, deep learning, LLM evaluation, training methodologies, and model reasoning workflows. The ability to decompose complex problems and communicate technical concepts clearly is also essential.
- How does Alignerr ensure the quality of the AI training data?
- Alignerr emphasizes high-fidelity reasoning traces and requires experts to review and mentor these traces. This ensures optimal documentation of planning, tool use, and logical progression, leading to reliable model decision-making patterns.
- What is 'chain-of-thought' and how does it relate to this role?
- Chain-of-thought is a prompting technique that encourages LLMs to break down complex problems into intermediate steps, mimicking human reasoning. Familiarity with this method is beneficial for authoring effective reasoning traces in this Senior Machine Learning Expert role.
- What does 'AI safety' or 'alignment research' mean in the context of Alignerr?
- AI safety and alignment research focus on ensuring that advanced AI systems behave in ways that are beneficial to humans and aligned with human values. Your work as a Senior Machine Learning Expert directly contributes to this by shaping how LLMs reason and make decisions.