Machine Learning Engineer

Overview

Join Alignerr as a Machine Learning Engineer to play a critical role in advancing the capabilities of next-generation AI systems. In this contract position, you will help train large language models by designing structured training data that enables AI to reason, plan, and solve complex problems autonomously. This fully remote role offers flexible hours, allowing you to contribute high-impact work independently.

Key Responsibilities

• Create detailed, stepwise logical reasoning traces that demonstrate how experts break down and resolve intricate technical challenges.
• Document planning processes, tool applications, and decision-making clearly and reproducibly.
• Develop quality training datasets that enhance large language models' real-world reasoning capabilities.
• Assess and improve AI workflows to ensure logical coherence and precise outcomes.
• Perform tasks autonomously, managing your schedule and workload independently.

Candidate Profile

• Possess a background in Machine Learning, Computer Science, or a closely related technical discipline.
• Communicate complex logical reasoning effectively in writing.
• Exhibit strong analytical abilities to dissect and evaluate multi-step problems for potential reasoning flaws.
• Be meticulous and systematic in handling structured technical assignments.
• Demonstrate self-motivation and dependability in unsupervised work settings.

Preferred Qualifications

• Experience with data annotation, labeling, or AI evaluation methodologies.
• Knowledge of large language models, prompt engineering, or AI training pipelines.
• Background in software engineering, machine learning research, or technical documentation.
• Skill in designing or analyzing AI reasoning processes.

Benefits

• Collaborate directly with teams creating some of the most sophisticated AI models worldwide.
• Enjoy the flexibility of fully remote work with autonomous scheduling.
• Engage in meaningful and influential technical work with freelance independence.
• Acquire unique insights into the training and evaluation of frontier AI language models.
• Opportunity for contract renewal and further projects based on performance and needs.