Machine Learning Engineer

Alignerr Corp.; United States; Remote; AUD 101,000 - 142,000; Part time

Benefits offered by this job

Autonomy

Flexible schedule

Global collaboration

Contract extension possible

Job summary

Alignerr Corp. is seeking a Machine Learning Engineer - AI Data Trainer for hourly, remote work. You will draft precise logs that show how AI reasons and acts, recording sequential strategies and tool usage to create training data for AI models.

The role requires a strong ML/engineering background, exceptional ability to explain complex processes, and qualified with a Master’s or PhD. 10–40 hours/week, hourly compensation to be negotiated.

Qualifications

• Professional expertise in ML, engineering, or a technical discipline.
• Ability to explain complex logical processes clearly.
• Strong critical thinking to audit AI reasoning steps.
• Master's Degree or PhD required.

Responsibilities

• Draft precise, organized logical logs for sophisticated technical challenges.
• Record sequential strategizing and choice-making workflows.
• Generate training datasets that illustrate proficient tool interaction for AI models.

Skills

Machine Learning

Clear Explanation

Critical Thinking

Data Evaluation

Education

Master's Degree or PhD

Job description

• Location: Remote
  

Machine Learning Engineer - AI Data Trainer

About The Job

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.

This initiative focuses on recording how an AI reasons and executes actions sequentially to handle practical assignments. Specialists draft precise, organized logs demonstrating strategizing, tool implementation, and choice-making, producing the data required to teach models to solve problems consistently in actual environments.

Organization: Alignerr Position: Machine Learning Engineer - AI Data Trainer Type: Hourly Contract Compensation: $50–$70 /hour Location: Remote Commitment: 10–40 hours/week

What You’ll Do

• Draft precise, organized logical logs for sophisticated technical challenges.
• Record sequential strategizing and choice-making workflows.
• Generate training datasets that illustrate proficient tool interaction for AI models.

Requirements

• Professional expertise in Machine Learning, Engineering, or a technical discipline.
• Superb skill in explaining intricate logical processes and methodologies clearly.
• Critical thinking skills to audit and refine AI-generated reasoning steps.
• Master's Degree or PhD

Preferred

• Prior experience with data annotation, data quality, or evaluation systems.
• Master's Degree or PhD

Why Join Us

• 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.