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Australia
1 week ago
Senior Machine Learning Expert logo

Senior Machine Learning Expert

Alignerr

Australia
1 week ago
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Senior Machine Learning Expert

Senior Machine Learning Expert needed for a fully remote, flexible contract role at Alignerr. The role involves authoring high-fidelity reasoning traces to train large language models, requiring deep ML expertise in model reasoning, training methodologies, and LLM evaluation. Ideal for senior ML professionals who can work independently and asynchronously.

Core AIRemoteContractSeniorMachine LearningLarge Language Models

Senior Machine Learning Expert

Senior Machine Learning Expert needed for a fully remote, flexible contract role at Alignerr. The role involves authoring high-fidelity reasoning traces to train large language models, requiring deep ML expertise in model reasoning, training methodologies, and LLM evaluation. Ideal for senior ML professionals who can work independently and asynchronously.

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Core AIRemoteContractSeniorMachine Learning

Salary

Not specified

Work Location

Australia, AU

Work Model

Fully remote, flexible contract role

Employment Type

Hourly Contract

Experience Level

Senior

Core Qualifications

Technical (Must-have)
Machine LearningLarge Language ModelsModel ReasoningTraining MethodologiesFine-tuningEvaluationTraining PipelinesData StrategiesTool UseDecision-making LogicMulti-step Problem Solving
Soft Skills
Strong written communicationDetail-orientedRigorousIndependent workingMentoring

Preferred Qualifications

Technical (Nice-to-have)
Data AnnotationData Quality AssuranceModel Evaluation SystemsKaggleFeature EngineeringRLHFInstruction-tuningAI SafetyAlignment ResearchModel Interpretability

Key Responsibilities

  • •Author complex, high-fidelity reasoning traces that document how an LLM should plan and execute sophisticated technical tasks
  • •Design and structure traces that clearly capture tool use, decision-making logic, and multi-step problem solving
  • •Review and mentor reasoning trace quality — ensuring clarity, logical rigor, and alignment with model training goals
  • •Develop data strategies that help LLMs navigate intricate, real-world scenarios with greater reliability
  • •Apply your architectural knowledge of ML systems to produce training data that meaningfully improves model performance
  • •Work independently and asynchronously — fully on your own schedule
Machine LearningAI TrainingRemoteContractSeniorLLMReasoningData AnnotationAI ResearchFlexible
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