At a Glance
- Tasks: Annotate and evaluate data for large language model training in specialised domains.
- Company: Join a forward-thinking company at the forefront of AI technology.
- Benefits: Flexible part-time hours, competitive pay, and the chance to work remotely.
- Other info: Collaborate with diverse teams and contribute to innovative AI solutions.
- Why this job: Make an impact in AI while utilising your domain expertise and enhancing data quality.
- Qualifications: Experience in finance, law, healthcare, or other relevant fields is essential.
The predicted salary is between 20 - 30 £ per hour.
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.
- #J-18808-Ljbffr
Domain LLM Data Annotation Specialist, Contractor employer: Eigent AI
Join a forward-thinking company that values expertise and innovation in the rapidly evolving field of AI. As a Domain LLM Data Annotation Specialist, you'll enjoy a flexible part-time role that allows you to leverage your domain knowledge while contributing to high-quality data annotation for large language models. Our collaborative work culture fosters professional growth and offers unique opportunities to engage with cross-functional teams, ensuring your contributions have a meaningful impact across various specialized sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Domain LLM Data Annotation Specialist, Contractor
✨Get Involved in Data Challenges
Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Eigent AI.
✨Connect with Local Data Communities
Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.
✨Leverage Your University’s Resources
If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.
✨Apply Directly Through Our Website
Don’t forget to check out our jobs at Eigent AI and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.
We think you need these skills to ace Domain LLM Data Annotation Specialist, Contractor
Some tips for your application 🫡
Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!
Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.
Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Eigent AI aligns with your career aspirations. Show us you're excited about learning and growing with us!
Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!
How to prepare for a job interview at Eigent AI
✨Brush Up on Your Stats!
Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Eigent AI.
✨Show Off Your Projects!
It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Eigent AI.
✨Familiarise Yourself with Tools of the Trade
Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Eigent AI, so having a comfort level with these tools will definitely be an advantage.
✨Be Ready to Discuss Real-World Applications
Since this is a part-time role, employers at Eigent AI will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.
