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From Home Lidar Annotation Jobs in Minnesota (NOW HIRING)

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Adapts instruction using diverse text selections, annotation strategies, and graphic organizers to ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Adapts instruction using diverse text selections, annotation strategies, and graphic organizers to ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Adapts instruction using diverse text selections, annotation strategies, and graphic organizers to ...

Autocad Tutor

Minneapolis, MN · Remote

$25 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... annotation, and file management. Ability to explain coordinate systems, object properties, viewport ...

Autocad Tutor

Saint Paul, MN · Remote

$25 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... annotation, and file management. Ability to explain coordinate systems, object properties, viewport ...

Autocad Tutor

Edina, MN · Remote

$25 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... annotation, and file management. Ability to explain coordinate systems, object properties, viewport ...

TACHS Tutor

Edina, MN · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Skilled at teaching reading passage annotation, grammar rule application, and mental math ...

TACHS Tutor

Minneapolis, MN · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Skilled at teaching reading passage annotation, grammar rule application, and mental math ...

LSAT Tutor

Minneapolis, MN · Remote

$26 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... and passage annotation. Guides students through conditional reasoning, sufficient/necessary ...

ACT Reading Tutor

Saint Paul, MN · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Ability to explain active reading strategies, annotation techniques, and evidence location for 40 ...

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From Home Lidar Annotation information

What is a from home lidar annotation?

A From Home Lidar Annotation job involves labeling and categorizing LiDAR (Light Detection and Ranging) data, usually for use in mapping, autonomous vehicles, or robotics. Workers perform these tasks remotely, using specialized software to identify objects, boundaries, or features in 3D point cloud data collected by LiDAR sensors. This work helps improve machine learning models for object detection and navigation. Attention to detail and basic computer proficiency are important for this role, and prior experience with annotation tools can be an advantage.

What skills and qualifications are needed to thrive as a from home lidar annotation specialist?

To thrive as a From Home Lidar Annotation Specialist, you need attention to detail, spatial awareness, and familiarity with data labeling processes, often supported by a high school diploma or equivalent. Experience with specialized annotation software, Lidar point cloud tools (such as Labelbox or Supervisely), and basic computer proficiency is typically required. Strong time management, communication skills, and the ability to work independently help set candidates apart in remote settings. These capabilities ensure accurate, high-quality data annotation that is crucial for developing reliable AI and machine learning models.

What are common challenges faced when working remotely as a lidar annotation specialist, and how can they be overcome?

Working from home as a LiDAR annotation specialist can present challenges such as maintaining focus during repetitive tasks, communicating effectively with a remote team, and ensuring high annotation accuracy without in-person supervision. To overcome these, it's helpful to establish a structured daily routine, use collaboration tools (like Slack or Zoom) to stay connected with teammates and supervisors, and participate in regular quality checks or feedback sessions. Staying organized and proactively seeking clarification on ambiguous data can also help maintain productivity and quality.

What is the difference between From Home Lidar Annotation vs From Home Data Labeling Specialist?

AspectFrom Home Lidar AnnotationFrom Home Data Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar, often requires basic technical understanding
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageAutonomous vehicles, roboticsVarious industries including automotive, healthcare, AI
Search & Comparison IntentUnderstanding lidar-specific annotation rolesGeneral data labeling roles

From Home Lidar Annotation involves annotating 3D point cloud data captured by lidar sensors, primarily for autonomous vehicle development. In contrast, From Home Data Labeling Specialist covers a broader range of data annotation tasks across multiple industries. Both roles are remote and require attention to detail, but lidar annotation is specialized for spatial and sensor data, making it more technical and industry-specific.

What are the most commonly searched types of Lidar Annotation jobs in Minnesota?

The most popular types of Lidar Annotation jobs in Minnesota are:

What are popular job titles related to From Home Lidar Annotation jobs in Minnesota?

For From Home Lidar Annotation jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching From Home Lidar Annotation jobs in Minnesota look for?

The top searched job categories for From Home Lidar Annotation jobs in Minnesota are:

What cities in Minnesota are hiring for From Home Lidar Annotation jobs?

Cities in Minnesota with the most From Home Lidar Annotation job openings:

Lead Applied Scientist, Document Understanding

THOMSON REUTERS

Eagan, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago


Thomson Reuters rating

8.8

Company rating: 8.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

42nd of 496 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.

Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role.In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $147,600 USD - $274,200 USD. For Ontario, Canada, the base compensation range for this role is $140,000 CAD - $175,000 CAD. Base pay is positioned within the range based on several factors including an individual's knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance. This job posting will close 11/30/2026.

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.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. 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


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