At a Glance
- Tasks: Lead the creation of complex reasoning traces for AI models and mentor fellow annotators.
- Company: Join Alignerr, a leader in AI research collaboration.
- Benefits: Earn $60-$80/hour with flexible remote work and potential contract extension.
- Other info: Enjoy freelance perks like autonomy and global collaboration.
- Why this job: Work on cutting-edge AI projects and make a real impact in the tech world.
- Qualifications: Experience in Machine Learning and proven problem-solving skills required.
The predicted salary is between 80 - 80 $ per hour.
Senior 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 project is about capturing how an LLM reasons and takes actions step by step to solve real tasks.
Annotators write clear, structured traces that show planning, tool-use, and decision making, creating data that trains models to reason more reliably in real world scenarios.
- Organization : Alignerr
- Position : Senior Machine Learning Engineer - AI Data Trainer
- Type : Hourly Contract
Compensation : $60-$80 /hour
Commitment : 10-40 hours/week
What You'll Do
- Lead the authorship of complex, high-fidelity reasoning traces for sophisticated technical tasks.
- Mentor and review structured traces to ensure optimal planning and tool-use documentation.
- Design data strategies that help LLMs navigate intricate real-world decision-making scenarios.
Requirements
- Significant experience in Machine Learning or related technical fields, with a focus on model reasoning.
- Proven ability to decompose complex problems into clear, logical, and documented steps.
- Experience with advanced LLM evaluation and training methodologies.
- Preferred
- Prior experience with data annotation, data quality, or evaluation systems.
- Top-tier Kaggle competition results (e. g., Grandmaster/Master level), demonstrating a deep understanding of model performance and feature engineering.
- 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.
- #J-18808-Ljbffr
Senior Machine Learning Engineer in Sydney employer: Alignerr
As a leading AI research partner, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to make a real difference in public health. With flexible hours and competitive pay, our Remote Health Policy & AI Content Specialist role offers unique opportunities for professional growth while contributing to meaningful projects that advance health equity. Join us to be part of a dynamic team dedicated to shaping the future of health information through cutting-edge AI technology.
