AI Generalist

Rex.zone; Denmark; Remote; DKK 207,000 - 289,000; Full time

Benefits offered by this job

Remote work opportunities

Flexible contracts

Job summary

Rex.zone in Copenhagen is seeking an AI Generalist to support AI data operations, including evaluating LLMs and annotation tasks across NLP and computer vision.

You will ensure data quality, adapt guidelines, and collaborate with remote teams on training pipelines, RLHF, labeling, and QA evaluation for cutting-edge AI models.

Opportunities span remote, full-time, contract and freelance roles for both entry-level and senior professionals with top AI labs and annotation vendors.

Qualifications

• Candidates must understand AI/ML evaluation metrics and prompt evaluation techniques.
• Experience with data annotation platforms and a background in engineering or data science.
• Ability to maintain high training data quality and adapt to evolving guidelines Compliance standards.

Responsibilities

• Conduct AI data operations across NLP and CV annotation.
• Perform LLM evaluation and content safety labeling.
• Collaborate with remote teams on training pipelines and QA evaluation.

Skills

AI/ML evaluation

Prompt evaluation

Data annotation platforms

Engineering/data science background

Education

Bachelor's degree in CS/Engineering/Data Science

Job description

Explore top AI Generalist jobs in Copenhagen for 2026 at Rex.zone. Join our remote teams to power LLM training pipelines, RLHF, data labeling, and QA evaluation for cutting-edge artificial intelligence models.

Core Responsibilities in AI/ML Training Workflows

Your day-to-day tasks will encompass a wide range of AI data operations. You will conduct large language model evaluation, named entity recognition, and content safety labeling. Whether you are working on NLP or computer vision annotation, your expertise will shape the next generation of AI models. We offer remote, full-time, contract, and freelance opportunities for both entry-level and senior professionals collaborating with top AI labs, tech startups, and annotation vendors.

Required Skills And Qualifications

Candidates must possess a deep understanding of AI/ML evaluation metrics and prompt evaluation techniques. Experience with data annotation platforms and a strong background in engineering or data science is required. You must excel in maintaining high training data quality and adapting to evolving annotation guidelines compliance standards to ensure optimal model performance improvement.