... expert annotation and synthetic data generation * Drive independent technical decisions on ... Legal domain applications: case law retrieval, precedent finding, document review * AzureML or AWS ...
... expert annotation and synthetic data generation * Drive independent technical decisions on ... Legal domain applications: case law retrieval, precedent finding, document review * AzureML or AWS ...
Data Annotation Law information
What are the key skills and qualifications needed to thrive as a Data Annotation Specialist, and why are they important?
To thrive as a Data Annotation Specialist, you need keen attention to detail, strong analytical skills, and a basic understanding of data labeling protocols, often supported by a high school diploma or relevant training. Familiarity with data annotation tools like Labelbox, Supervisely, or CVAT, as well as knowledge of data privacy regulations, is typically required. Excellent communication, time management, and consistency are vital soft skills for collaborating with teams and maintaining annotation quality. These skills ensure accurate, reliable data labeling, which is critical for developing effective machine learning models.
What are some common challenges faced by professionals working in data annotation for the legal industry, and how can they be addressed?
Professionals in data annotation law often encounter challenges such as interpreting complex legal language, ensuring consistency and accuracy in labeling, and maintaining confidentiality with sensitive information. Collaboration with legal experts and ongoing training in legal terminology are essential to address these issues. Additionally, many organizations implement rigorous quality assurance processes and utilize annotation guidelines to help annotators navigate ambiguous cases and improve overall data quality.
What is Data Annotation Law?
Data Annotation Law refers to the legal frameworks and regulations that govern the process of labeling, tagging, or categorizing data for use in machine learning and artificial intelligence applications. These laws address issues such as data privacy, intellectual property, consent, and the ethical use of annotated data. Data Annotation Law ensures that organizations handle data responsibly and comply with national and international standards when using human annotators or automated systems. It is crucial for companies to understand these legal requirements to avoid potential legal liabilities and protect the rights of data subjects.
What is the difference between Data Annotation Law vs Data Labeler?
| Aspect | Data Annotation Law | Data Labeler |
|---|---|---|
| Credentials | Legal knowledge, compliance certifications | Basic training, attention to detail |
| Work Environment | Legal offices, compliance departments | Data annotation platforms, remote or office settings |
| Industry Usage | Legal, AI compliance, data privacy | AI training, machine learning datasets |
| Search & Comparison | Legal roles, compliance in data annotation | Data labeling, data annotation jobs |
Data Annotation Law involves legal expertise ensuring data annotation processes comply with laws and regulations, often requiring legal certifications. Data Labelers focus on annotating data for AI models, typically with basic training. While both roles work within data annotation, Data Annotation Law emphasizes legal compliance, whereas Data Labelers concentrate on data preparation for machine learning.
What are popular job titles related to Data Annotation Law jobs in Michigan? For Data Annotation Law jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Annotation Law jobs in Michigan look for? The top searched job categories for Data Annotation Law jobs in Michigan are:
What cities in Michigan are hiring for Data Annotation Law jobs? Cities in Michigan with the most Data Annotation Law job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 23 days ago
Thomson Reuters rating
8.9
Based on 19 frontline employees who took The Breakroom Quiz
19th of 424 rated business services
Job description
Applied Scientist, Search & Information Retrieval
About the Role
This is an applied science position focused on building and deploying production-grade search systems that power Westlaw, PracticalLaw, and CoCounsel. You will work across neural information retrieval, semantic and hybrid search, re-ranking, and query understanding - delivering search quality and relevance at scale for legal and professional content.
About You
You hold a PhD or Master's in Computer Science, AI, NLP, or a related field, with 3+ years of post-degree industry experience shipping search or retrieval systems into production. You have hands-on depth in neural IR and deep learning for NLP, you work independently, and you measure success by what performs in production.
What You'll Do
Design, build, and deploy end-to-end neural search systems including dense retrieval, hybrid search, semantic chunking, embedding models, cross-encoders, SLM re-rankers, and transformer-based approaches
Develop models for query understanding, document re-ranking, and retrieval quality optimisation
Build evaluation frameworks - component-level and end-to-end - using expert annotation and synthetic data generation
Drive independent technical decisions on retrieval architecture, indexing strategy, ranking models, and evaluation methodology
Partner with engineering on delivery, reliability, and scale across multiple product lines
Contribute to published research at venues such as SIGIR, ECIR, NeurIPS, ACL, EMNLP, and ICLR, and to intellectual property
Required Qualifications
PhD or Master's in Computer Science, AI, NLP, or a related field
3+ years of post-degree industry experience shipping search, retrieval, or RAG systems into production - not research-only experience
Publications at SIGIR, ECIR, NeurIPS, ACL, EMNLP, ICLR, or equivalent
Production Python and experience with PyTorch, DeepSpeed, Torchtune, or LlamaFactory
Hands-on production depth required in:
Neural IR fundamentals: BM25, hybrid search, dense retrieval (DPR, ColBERT), bi-encoders, cross-encoders, late interaction models
Search and RAG system design: vector databases, retrieval strategies, document chunking, metadata filtering, re-ranking, context optimisation, and orchestration
Evaluation framework design for retrieval quality at component and system level
Post-training of large language models and their application to retrieval systems
Deep learning and NLP fundamentals
Preferred Qualifications
Search, QA, or RAG over large corpora and long documents, including legal or enterprise search
Multi-stage or agentic retrieval architectures and query understanding for complex information needs
Legal domain applications: case law retrieval, precedent finding, document review
AzureML or AWS SageMaker
#LI-LP2
What's in it For You?
Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Making a Real-World Impact:We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department atHR.Leave-Expert@thomsonreuters.com. Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.
Learn more on how to protect yourself from fraudulent job postings here.
More information about Thomson Reuters can be found on thomsonreuters.com
What Thomson Reuters employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom