Senior Machine Learning Expert

Alignerr Corp.; Cambridge; A distancia; GBP 165.000 - 303.000; A tiempo parcial

Descripción de la vacante

Alignerr is seeking a Senior Machine Learning Expert (AI Training) to shape how next-generation AI systems reason, plan, and decide. This remote hourly contract offers freelance autonomy to work 10-40 hours per week.

You will author traces, design structured decision-making data, and review others\' work to ensure coherence and accuracy. Experience with LLMs training and evaluation is essential, and you will operate independently on complex tasks.

Formación

• Senior ML professional with experience in model reasoning and AI system design.
• Strong ability to break down complex tasks into clear steps.
• Familiar with LLMs training, evaluation, and improvement.
• Detail-oriented with independent, asynchronous work style.

Responsabilidades

• Author complex, high-fidelity reasoning traces for LLM training.
• Design step-by-step data that teaches models to reason reliably.
• Review traces for coherence, planning quality, and tool-use accuracy.
• Develop strategies for navigating multi-step problem scenarios.
• Apply architectural insight to validate expert-level thinking.

Conocimientos

Model reasoning

Training pipelines

AI systems design

LLM evaluation

Descripción del empleo

Senior Machine Learning Expert (AI Training)

What if your deep expertise in machine learning could directly influence how the next generation of AI systems reason, plan, and make decisions? We're looking for Senior Machine Learning Experts to help build the foundational training data that teaches large language models how to think - step by step, in real-world scenarios.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10-40 hours/week

What You'll Do

• Author complex, high-fidelity reasoning traces that capture how an LLM should plan, use tools, and make decisions to solve real technical tasks
• Design structured, step-by-step decision-making data that trains AI models to reason more reliably in production environments
• Review and refine reasoning traces contributed by others, ensuring logical coherence, planning quality, and tool-use accuracy
• Develop data strategies for navigating intricate, multi-step problem scenarios that push model capabilities forward
• Apply senior-level architectural insight to validate that traces reflect sound, expert-level machine learning thinking

Who You Are

• Experienced machine learning professional with a strong foundation in model reasoning, training pipelines, or AI systems design
• Skilled at decomposing complex technical problems into clear, logical, well-documented steps
• Familiar with how large language models are trained, evaluated, and improved
• Detail-oriented - you notice when a reasoning chain breaks down or when a decision step is unclear or missing
• Comfortable working independently and asynchronously, producing high-quality work without hand-holding

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 elite model performance and feature engineering skills
• Hands-on experience designing or auditing LLM evaluation frameworks
• Background in AI safety, alignment research, or model interpretability

Why Join Us

• Work on some of the most technically challenging AI training projects in the field, alongside leading research labs
• Fully remote and asynchronous - work when and where it suits you, on your own schedule
• Freelance autonomy with access to meaningful, senior-level technical work
• Make a direct, lasting impact on how the world's most advanced AI models reason and act
• Potential for ongoing work and contract extension as new projects launch