Machine Learning Engineer - AI Data Trainer

About the Role

Alignerr collaborates with top AI research groups worldwide to develop and refine innovative AI models. This position involves generating detailed, structured annotations that illustrate how large language models (LLMs) logically reason and execute actions in stepwise fashion to resolve real-world problems.

Key Responsibilities

• Produce clear and organized reasoning traces for technically complex tasks.
• Detail the step-by-step methodologies involved in planning and decision making.
• Develop training datasets that exemplify proficient tool usage within real-world logic frameworks.

Qualifications

• Educational background in Machine Learning, Computer Science, or closely related technical disciplines.
• Proficiency in articulating complex logical procedures and technical reasoning through written communication.
• Strong analytical capabilities to assess and enhance AI decision-making processes.
• Experience in data annotation, quality assurance, or evaluation systems is advantageous.

Compensation and Work Conditions

• Competitive hourly rate ranging from $50 to $70.
• Flexible remote work schedule with a weekly time commitment between 10 and 40 hours.
• Opportunity to engage with a dynamic team on leading-edge AI projects.
• Experience working with advanced large language models and their training methodologies.
• Freelance advantages including autonomy, scheduling flexibility, and opportunities for international collaboration.
• Potential for contract renewal based on performance and project needs.

Application Procedure

• Submit a detailed resume.
• Complete a brief screening interview.
• Proceed through project matching and onboarding phases.

Note: Applications are reviewed daily. Completion of the AI-related interview and application steps is necessary for consideration.