Mississauga On Data annotation Jobs – 25 Openings This Week

Prompt Engineer
Innodata Inc. —Toronto, ON
- $80,000–$85,000 a year
- Remote
- JavaScript
- APIs
- AI
Quick apply
Applied Researcher 1
eBay Inc. —Toronto, ON
- $118,000–$157,500 a year
- Full-time
- Doctoral degree
- Computer Science
- English
- Paid time off
Engineer, AI & Software Testing
Magna —Toronto, ON
- $95,000–$145,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
Machine Learning Analyst
Fidelity Investments —Toronto, ON
- $90,000–$110,000 a year
- Full-time
- Oracle
- Computer Science
- Engineering
4d
Product Specialist
Solink —Toronto, ON
- $89,053–$101,150 a year
- Full-time
- Hybrid work
- Restaurant experience
- Communication skills
- Dental care
1d
Applied Researcher 2
eBay Inc. —Toronto, ON
- $142,400–$190,100 a year
- Full-time
- Doctoral degree
- Computer Science
- Java
- Paid time off
Specialist, CAD QC (Telecommunications)
Aecon Group —Toronto, ON
- $55,000–$65,000 a year
- Full-time
- Microsoft Word
- AutoCAD
- Civil engineering
- Tuition reimbursement
Quick apply
Specialist - Software Engineering
LTM —Mississauga, ON
- $91,511–$103,366 a year
- Java
- SQL
- APIs
- Disability insurance
- Dental care
Quick apply
Engineer, AI & Software Testing
Magna International —Toronto, ON
- $95,000–$145,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
Quick apply
Machine Learning Engineer
NTENT —Toronto, ON
- Full-time
- Computer Science
- Java
- Master's degree
- Designated paid holidays
- Disability insurance
Quick apply
Medical Editor (Contract)
Klick Health —Toronto, ON
- $70,000–$80,000 a year
- Contract
- Hybrid work
- Medicine
- Doctoral degree
- Master's degree
Quick apply
Principal AI Research Scientist Post-Training Alignment
Autodesk —Toronto, ON
- Full-time
- Doctoral degree
- Laboratory experience
- Research
Physician Annotator - Nuclear Medicine Clinical AI (Part-Time/Contract)
Nucs AI —Toronto, ON
- Full-time
- Remote
- AI
- Flexible schedule
Quick apply
RQ11124 - Sr. Software Developer - Full Stack
Source Code —Toronto, ON
- $72.14–$108.22 an hour
- Full-time
- Azure
- DevOps
- Java
Quick apply
Software Engineer, ML Infrastructure
Serve Robotics —Toronto, ON
- $155,000–$190,000 a year
- Full-time
- Remote
- Computer Science
- Engineering
- Master's degree
Sr. Product Mgr, AI & Human Eval Prog
eBay Inc. —Toronto, ON
- $133,200–$177,800 a year
- Full-time
- Administrative experience
- SQL
- AI
- Paid time off
Clinical Operations & Enablement Lead
Nucs AI —Toronto, ON
- Full-time
- Hybrid work
- Master's degree
- Presentation skills
- Bachelor's
Quick apply
RQ10562 - Sr. Software Developer - Full Stack
Source Code —Toronto, ON
- DevOps
- Java
- SQL
Quick apply
RQ11123 - 2 x Sr. Software Developer - Full Stack
Source Code —Toronto, ON
- $72.14–$108.22 an hour
- Full-time
- Azure
- DevOps
- Java
Quick apply
BIM Modeler - Electrical
Egis Group —Toronto, ON
- $70,000–$85,000 a year
- Full-time
- Hybrid work
- AutoCAD
- Schematics
- Engineering
Quick apply

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Prompt Engineer

Innodata Inc. -
Toronto, ON

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Job details

Fixed term contract
$80,000–$85,000 a year

Qualifications

TensorFlow
Law
XML
PyTorch
Data structures
JavaScript
APIs
JSON
Business requirements
AI
Python

Full job description

Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.

Scope of the Role:

Innodata is building a team of Prompt Engineers to leverage large language models (LLMs) to automate and optimize data annotation and human evaluation workflows. In this role, you will design and implement effective prompt strategies that improve accuracy, localization, and cultural alignment in data labeling and translation processes.

Working closely with Product, Data Science, Operations, and client stakeholders, you will translate business requirements into scalable AI-driven solutions. You will identify automation opportunities, develop prompt-based workflows, and continuously measure and refine performance to ensure high standards of quality and reliability.

This position offers the opportunity to directly impact efficiency, scalability and innovation for a leading global technology partner.

What You'll Own:

Collaborate with data scientists, linguists, and localization experts to ensure accuracy and cultural relevance.
Prototype and validate AI models to demonstrate initial feasibility, potential impact, and overall effectiveness.
Design, develop, and implement prompts for data labeling and localization processes within software applications.
Understand the current components of the software stack, use cases and problems and iterate on solutions leveraging a solid knowledge of data structures, data formats, and data modeling.
Conduct user testing and feedback analysis to optimize prompt design for data accuracy and linguistic consistency.
Analyze model performance using key performance indicators (KPIs) and metrics, ensuring that AI models meet customer acceptance criteria and deliver high-quality outputs.
Communicate technical findings and solution strategies to both technical and non-technical stakeholders, including presenting model performance and actionable insights in a clear, accessible manner.
Collaborate on data pipelines and workflows that integrate LLMs into automated systems, enhancing both the efficiency and effectiveness of data annotation tasks.
Create guidelines and training materials for prompt usage in data labeling and localization projects.
Stay informed on data labeling and localization industry trends and tools to enhance prompt engineering techniques.

You'll Thrive in This Role If You Have:

2 years of prompt engineering / LLM fine-tuning, or related AI/ML roles.
Familiarity with tools/platforms for annotation and human-in-the-loop workflows (e.g., Labelbox).
Experience designing and automating data annotation workflows.
Knowledge of data annotation and the challenges of scaling human-in-the-loop workflows.
Familiarity with cloud platforms, containerization, and model deployment.
Deep understanding of LLMs (e.g. transformer-based architectures).
Demonstrated experience programmatically using LLMs to automate data labeling, classification, localization and annotation tasks.
Strong expertise in Python for NLU, for data processing & transformation, and for statistical analysis. Familiarity with JSON, Javascript or XML.
Experience with popular frameworks and libraries, including TensorFlow, PyTorch, Jupyter, and other relevant AI/ML tools.
Familiarity with APIs and platforms for working with LLMs (e.g., OpenAI, Hugging Face, etc.).
Knowledge of localization best practices and cultural nuances for different languages and regions.
Strong understanding of LLM evaluation metrics and the ability to assess model reliability, bias, and generalizability.
Experience working with data pipelines, automation tools, and integrating models into production systems to ensure scalable, reliable solutions.

The expected salary range for this position is $80,000 – $85,000 CAD per year, based on experience, skills, and qualifications.

Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission's guide at https://consumer.ftc.gov/articles/job-scams.

If you believe you've been targeted by a recruitment scam, please report it to Innodata at [email protected] and consider reporting it to the FTC at ReportFraud.ftc.gov.

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Refine Your Search

data annotation jobs in mississauga on

Prompt Engineer

Applied Researcher 1

Engineer, AI & Software Testing

Machine Learning Analyst

Product Specialist

Applied Researcher 2

Specialist, CAD QC (Telecommunications)

Specialist - Software Engineering

Engineer, AI & Software Testing

Machine Learning Engineer

Medical Editor (Contract)

Principal AI Research Scientist Post-Training Alignment

Physician Annotator - Nuclear Medicine Clinical AI (Part-Time/Contract)

RQ11124 - Sr. Software Developer - Full Stack

Software Engineer, ML Infrastructure

Sr. Product Mgr, AI & Human Eval Prog

Clinical Operations & Enablement Lead

RQ10562 - Sr. Software Developer - Full Stack

RQ11123 - 2 x Sr. Software Developer - Full Stack

BIM Modeler - Electrical

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