Synthetic data generation and annotation workflow design * End-to-end evaluation framework design for document understanding Preferred Qualifications * Legal document understanding, legal IE, or ...
Synthetic data generation and annotation workflow design * End-to-end evaluation framework design for document understanding Preferred Qualifications * Legal document understanding, legal IE, or ...
Senior Robotic AI-Perception Engineer - Only W2
Warren, MI · On-site
$98K - $134K/yr
... for data collection, annotation, preprocessing, model training, and evaluation. · Collaborate with hardware engineers, software engineers, and domain experts to integrate with mapping, motion ...
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Senior Robotic AI-Perception Engineer - Only W2
Warren, MI · On-site
$98K - $134K/yr
... for data collection, annotation, preprocessing, model training, and evaluation. · Collaborate with hardware engineers, software engineers, and domain experts to integrate with mapping, motion ...
Proofread and edit research data and documents to ensure accuracy. Prepare and present ... annotation, and quantitative image analysis. Qualifications: Education: Bachelor's degree Bachelor ...
Proofread and edit research data and documents to ensure accuracy. Prepare and present ... annotation, and quantitative image analysis. Qualifications: Education: Bachelor's degree Bachelor ...
Design and maintain cloud-based pipelines for data collection, annotation, preprocessing, model training, and evaluation. * Collaborate with hardware engineers, software engineers, and domain experts ...
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Design and maintain cloud-based pipelines for data collection, annotation, preprocessing, model training, and evaluation. * Collaborate with hardware engineers, software engineers, and domain experts ...
Manage data integrity and access permissions within PDM/CDE environments. * Plan and coordinate ... equivalent, annotation styles, title blocks, and periodic standards audits. * Strong QA/QC ...
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Manage data integrity and access permissions within PDM/CDE environments. * Plan and coordinate ... equivalent, annotation styles, title blocks, and periodic standards audits. * Strong QA/QC ...
... germline variant annotation, classification, and reporting. * Define and drive content ... Lead continuous improvement efforts to strengthen scientific rigor, data quality, operational ...
... germline variant annotation, classification, and reporting. * Define and drive content ... Lead continuous improvement efforts to strengthen scientific rigor, data quality, operational ...
... germline variant annotation, classification, and reporting. * Define and drive content ... Lead continuous improvement efforts to strengthen scientific rigor, data quality, operational ...
... germline variant annotation, classification, and reporting. * Define and drive content ... Lead continuous improvement efforts to strengthen scientific rigor, data quality, operational ...
Mechanical Engineer - Mission Critical
Royal Oak, MI · On-site
$130K - $190K/yr
... annotation standards. * Resolve system conflicts during interdisciplinary coordination by ... Knowledge of typical redundancy requirements for data centers and impact on design requirements for ...
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Mechanical Engineer - Mission Critical
Royal Oak, MI · On-site
$130K - $190K/yr
... annotation standards. * Resolve system conflicts during interdisciplinary coordination by ... Knowledge of typical redundancy requirements for data centers and impact on design requirements for ...
Laboratory Technician
Ann Arbor, MI · On-site
$18.50 - $24.75/hr
Accurately transfer off-line patient data from worksheets and instrument printout to the computer ... Proficiency in image acquisition, file management, and annotation. * Prior histology lab experience.
Laboratory Technician
Ann Arbor, MI · On-site
$18.50 - $24.75/hr
Accurately transfer off-line patient data from worksheets and instrument printout to the computer ... Proficiency in image acquisition, file management, and annotation. * Prior histology lab experience.
Data Annotation information
What does a data annotation do?
A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.
How much money can I make doing data annotation?
Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.
What is a data annotation?
A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.
What are the key skills and qualifications needed to thrive in data annotation?
To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.
What job categories do people searching Data Annotation jobs in Taylor, MI look for? The top searched job categories for Data Annotation jobs in Taylor, MI are:
What cities near Taylor, MI are hiring for Data Annotation jobs? Cities near Taylor, MI with the most Data Annotation job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 20 days ago
Thomson Reuters rating
8.9
Based on 19 frontline employees who took The Breakroom Quiz
30th of 481 rated business services
Job description
Lead Applied Scientist, Document Understanding
About the Role
This role sits within the applied science function. You will own the design, development, and production deployment of document understanding systems that directly power Westlaw, PracticalLaw, and CoCounsel. The problems are real, the scale is large, and the expectation is shipped, reliable, measurable impact.
You will work across semantic chunking, document enrichment, knowledge graph construction, and synthetic data generation for complex legal, tax, and accounting content. Multiple product teams depend on what this function delivers.
About You
You hold a PhD in Computer Science, AI, NLP, or a related field, with 8+ years of post-degree industry experience taking NLP and document understanding systems from development to production at scale. You have hands-on depth across the full applied arc - model development, distillation, evaluation, and deployment. You publish, you mentor, and you measure success by what ships and performs in production.
What You'll Do
Design and deploy semantic chunking models for lengthy, non-uniformly structured legal documents with adjustable granularity across use cases
Build document enrichment systems using legal and customer-defined taxonomies
Develop LLM-based knowledge graph construction pipelines that extract and link citations, entities, and legal concepts across diverse legal content
Lead knowledge distillation efforts to compress large models into latency-constrained, production-ready SLMs
Design evaluation frameworks - component-level and end-to-end - using expert annotation and synthetic data
Own technical decisions on architecture, chunking strategy, classification approach, and knowledge extraction methods
Partner with engineering on delivery, reliability, and scale across multiple product lines
Provide technical input to senior leadership on AI strategy and roadmap
Mentor applied scientists and ML practitioners on the team
Required Qualifications
PhD in Computer Science, AI, NLP, or a related field - required
8+ years of post-degree industry experience shipping document understanding, information extraction, or knowledge graph systems into production - not research-only experience
Publications at ACL, EMNLP, ICLR, NeurIPS, SIGIR, KDD, or equivalent
Production Python and experience with PyTorch, Hugging Face Transformers, and DeepSpeed
Hands-on production depth required in:
Document layout analysis and semantic chunking beyond fixed-size or paragraph-based methods
Hierarchical, multi-label document classification with domain-specific and customer-defined schemas
Entity recognition and linking, relation extraction, citation parsing, and knowledge graph construction from unstructured text
LLM-based information extraction, few-shot and multi-task learning, and post-training
Knowledge distillation, model compression, and SLM deployment under latency constraints
Synthetic data generation and annotation workflow design
End-to-end evaluation framework design for document understanding
Preferred Qualifications
Legal document understanding, legal IE, or legal AI experience
Complex document structures: nested hierarchies, cross-references, non-uniform formatting
Retrieval or QA systems over large document collections
RAG and agentic workflows in enterprise settings
Knowledge graph frameworks for legal or enterprise applications
AzureML or AWS SageMaker
#LI-LP2
New Position: This position is open due to an existing vacancy to support our evolving business needs.What's in it For You?
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.
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