Domain LLM Data Annotation Specialist, Contractor

Eigent AI; Greater London; On-site; GBP 30,000 - 41,000; Part time

Job summary

Eigent AI is seeking part-time Domain LLM Data Annotation Specialists in Greater London. The role involves annotating and evaluating specialized data for large language models across various domains such as finance, healthcare, and law.

Candidates should have domain expertise or experience, ensuring high-quality evaluations and providing feedback to improve data standards. This is a contractor position that emphasizes attention to detail and collaboration with cross-functional teams.

Qualifications

• Professional experience in relevant domains (finance, law, healthcare, etc.).
• Ability to judge correctness and quality of specialized content.
• Prior experience in data annotation or LLM evaluation is preferred.

Responsibilities

• Annotate and evaluate domain-specific data for LLMs.
• Assess the accuracy and completeness of model outputs.
• Collaborate with teams to improve quality control processes.

Skills

Domain expertise in finance

Domain expertise in law

Domain expertise in healthcare

Attention to detail

Communication skills

Job description

Domain LLM Data Annotation Specialist, Contractor

We are looking for part-time Domain LLM Data Annotation Specialists to support high-quality data annotation and quality evaluation for large language model training and evaluation. This role covers specialized domains including finance, law, healthcare, insurance, semiconductors, manufacturing, energy, automotive, biopharma, e-commerce, and retail. Candidates should bring domain expertise or relevant professional experience to help ensure the accuracy, reliability, and practical value of expert-level data.

• - Annotate, review, and evaluate domain-specific data for LLM training, evaluation, and post-training workflows.
• - Assess the factual accuracy, professional soundness, and completeness of model outputs in specialized domains.
• - Provide expert feedback on data quality, labeling guidelines, task design, and evaluation criteria.
• - Identify errors, inconsistencies, risks, and edge cases in domain-specific datasets.
• - Work with product, research, and data teams to improve annotation standards and quality control processes.
• - Support benchmarking and evaluation tasks for domain-specific LLM capabilities.
• - Complete annotation and review tasks on a part-time contractor basis with reliable delivery quality and timelines.

Requirements

• - Background or professional experience in one or more relevant domains, including finance, law, healthcare, insurance, semiconductors, manufacturing, energy, automotive, biopharma, e-commerce, or retail.
• - Strong domain knowledge and ability to judge the correctness, relevance, and quality of specialized content.
• - Careful attention to detail and strong sense of responsibility for data quality.
• - Ability to follow annotation guidelines and provide clear written feedback.
• - Good communication skills and ability to collaborate asynchronously with cross-functional teams.
• - Prior experience in data annotation, LLM evaluation, content review, research, consulting, or domain expert review is preferred.
• - Interest in AI, LLMs, and the application of AI systems in professional domains is a plus.