AI Generalist

Rex.zone; United States; Remote; USD 93,000 - 132,000; Full time

Job summary

Rex.zone is hiring a full-time AI Generalist for a remote position based in Cambridge. You will support LLM evaluation and model alignment, bridging engineering workflows with data labeling tasks, and work on RLHF and prompt evaluation to ensure high-quality training data.

The role suits mid-senior professionals with strong ML background, Python skills, and experience with data labeling and QA protocols, contributing to cutting-edge AI labs remotely.

Qualifications

• Background in machine learning and data operations.
• Proven experience in large language model evaluation, RLHF, and NLP.
• Familiarity with Python, data labeling platforms, and QA evaluation protocols.

Responsibilities

• Execute QA evaluation for generative AI outputs and guide evaluation pipelines.
• Perform named entity recognition and oversee annotation tasks including computer vision labeling.
• Collaborate with startups and annotation vendors to maintain training data quality and model alignment.

Skills

Machine learning

RLHF

NLP

Python

Data labeling

QA evaluation

Education

Bachelor's degree in CS or related field

Tools

Data labeling platforms

Job description

Explore remote AI Generalist jobs in Cambridge for 2026 at Rex.zone. Join our full-time engineering team to improve large language model evaluation, RLHF, and training data quality.

About The AI Generalist Role

Are you looking for remote AI Generalist jobs in Cambridge for 2026? Rex.zone is hiring full-time, mid-senior professionals to drive large language model evaluation and model performance improvement. In this remote role, you will bridge the gap between complex engineering workflows and high-quality data labeling. Your primary focus will be on RLHF (Reinforcement Learning from Human Feedback), prompt evaluation, and ensuring strict annotation guidelines compliance. By joining our AI labs, you will directly impact LLM training pipelines, working alongside experts in NLP, computer vision, and content safety labeling.

Core Responsibilities and Training Pipelines

As an AI Generalist, you will manage diverse AI/ML training workflows. Responsibilities include executing QA evaluation for generative AI outputs, performing named entity recognition, and guiding computer vision annotation tasks. You will collaborate with tech startups and annotation vendors to maintain training data quality. Whether you are handling content safety labeling or refining prompt evaluation frameworks, your expertise will ensure our models achieve superior accuracy and alignment.

Skills And Qualifications

Ideal candidates for this full-time remote position possess a strong background in machine learning and data operations. You must have proven experience in large language model evaluation, RLHF, and NLP. Familiarity with Python, data labeling platforms, and QA evaluation protocols is essential. We welcome applicants with diverse backgrounds, from freelance annotation specialists to senior AI engineers, who are passionate about shaping the future of AI at Rex.zone.