Build evaluation frameworks - component-level and end-to-end - using expert annotation and synthetic data generation * Drive independent technical decisions on retrieval architecture, indexing ...
Build evaluation frameworks - component-level and end-to-end - using expert annotation and synthetic data generation * Drive independent technical decisions on retrieval architecture, indexing ...
Data Annotation information
See Toronto, ON salary details
$8.72 - $12.62
4% of jobs
$15.75 is the 25th percentile. Wages below this are outliers.
$12.62 - $16.52
26% of jobs
The median wage is $18.84 / hr.
$16.52 - $20.42
33% of jobs
$23.64 is the 75th percentile. Wages above this are outliers.
$20.42 - $24.32
14% of jobs
$24.32 - $28.22
2% of jobs
$28.22 - $32.12
12% of jobs
$32.12 - $36.02
8% of jobs
$36.02 - $39.92
0% of jobs
$39.92 - $43.82
0% of jobs
$43.82 - $47.72
0% of jobs
$47.72 - $51.62
1% of jobs
$8
$24
$51
How much do data annotation jobs pay per hour?
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 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.
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.
How much money can I make doing data annotation?
What are the most commonly searched types of Data Annotation jobs in Toronto, ON?
The most popular types of Data Annotation jobs in Toronto, ON are:
What are popular job titles related to Data Annotation jobs in Toronto, ON?
For Data Annotation jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Data Annotation jobs in Toronto, ON look for?
The top searched job categories for Data Annotation jobs in Toronto, ON are:

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 15 days ago
Thomson Reuters rating
8.9
Based on 22 frontline employees who took The Breakroom Quiz
35th of 500 rated business services
Job description
Senior 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 5+ 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 optimization
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
5+ 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-MW1
This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.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.
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.
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Benefits
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About Thomson Reuters
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Industry
Analytics and business intelligence systems, finance and insurance, business management consulting, professional, scientific, and technical services and software development
Company size
10,000+ Employees
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