Remote Senior ML Engineer — LLM Reasoning & Planning

Alignerr; Charlotte (AR); On-site; USD 138,000 - 248,000; Part time

Job summary

Alignerr is seeking a Senior Machine Learning Engineer (AI Training) to author high-fidelity reasoning traces that teach large language models how to think — step by step, tool by tool, decision by decision. This is not a traditional ML role; you will translate deep technical intuition into structured data that makes AI smarter, more reliable, and capable in real-world tasks.

As an hourly remote contractor, you’ll contribute 10–40 hours per week, work independently, and collaborate with a global

Qualifications

• Seasoned ML practitioner with hands-on experience in ML or deep learning.
• Ability to break down complex, multi-step problems into clear structures.
• Familiarity with LLM architectures, training methodologies, and eval frameworks.
• Strong written communicator who articulates reasoning clearly.
• Self-directed and dependable; works well with minimal supervision.

Responsibilities

• Author complex, high-fidelity reasoning traces for LLMs.
• Decompose sophisticated ML problems into step-by-step solutions with clear logic.
• Design data strategies to train LLMs for real-world decision making.
• Review and provide expert feedback on traces produced by others.
• Ensure traces reflect sound architectural thinking and best practices.
• Collaborate across ML engineering, model evaluation, and system design.

Skills

ML practitioner

Problem decomposition

LLM architectures

Technical writing

Independent work

Job description

Alignerr is seeking a Senior Machine Learning Engineer (AI Training) to author high-fidelity reasoning traces that teach large language models how to think — step by step, tool by tool, decision by decision. This is not a traditional ML role; you will translate deep technical intuition into structured data that makes AI smarter, more reliable, and capable in real-world tasks.

As an hourly remote contractor, you’ll contribute 10–40 hours per week, work independently, and collaborate with a global