Review, evaluate, and validate AI-generated content (text, audio, images, video). Annotate and label data, identify errors and quality issues, compare outputs for accuracy, provide written justifications, follow project guidelines, complete tasks independently on schedule, and attend training and office hours.
About the Role
We are looking for detail-oriented Generative AI Analysts to support a variety of AI training, data annotation, evaluation, and quality review projects.
Project Details Disclaimer
- Job Title: Generative AI Analyst - French (Canada)
- Location: Remote (Canada)
- Employment Type: Freelance
- Pay Rate: 20USD/per hour
Depending on the project, you may work with text, translations, audio, transcriptions, images, video, or other AI-generated content. Tasks and project requirements may vary based on the program you are assigned to.
- Projects are subject to client requirements and may change.
- Completion of the application, assessment, and onboarding process does not guarantee assignment to a specific project or a minimum amount of work.
- This is a human-in-the-loop AI training environment. The use of generative AI tools is prohibited unless explicitly authorized for a specific project.
- All work must be completed independently using your own knowledge and judgment.
- You must comply with all data privacy, security, and confidentiality requirements. Do not store, copy, or share project data outside approved tools and channels.
What You’ll Do
- Review, evaluate, and validate AI-generated content and data according to project guidelines.
- Compare AI-generated outputs and identify the most accurate, relevant, or high-quality result.
- Identify errors, inconsistencies, omissions, and quality issues.
- Annotate, categorize, or label text, audio, images, video, or other data where required.
- Provide clear written feedback or justifications for your evaluations.
- Complete assigned tasks independently and within established timelines.
- Follow project and client guidelines consistently and maintain a high level of accuracy.
- Attend live office hours and training sessions to familiarize yourself with project guidelines, clarify questions, and prepare for task assignments.
Requirements:
- Native-level fluency in French (Canada) (written and spoken).
- Experience in Generative AI evaluation, data annotation, translation, linguistics, content quality review, transcription, data labeling, or a related field is preferred.
- Strong English proficiency and written communication skills.
- Excellent attention to detail, critical thinking, and judgment.
- Ability to follow detailed guidelines and apply evaluation criteria consistently.
- Comfortable working independently with structured, repetitive tasks.
- Familiarity with annotation or evaluation platforms is a plus.
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Similar Jobs
Cloud • Security • Software • Cybersecurity • Automation
Designs, operates, and improves production Kubernetes platforms across cloud environments. Manages ArgoCD GitOps workflows, Terraform infrastructure, CI/CD integrations, platform reliability, observability, security controls, and developer enablement. Collaborates with application teams to onboard services, create self-service tooling and documentation, respond to incidents, and improve platform availability and performance.
Top Skills:
ArgocdAWSAzureBashCiliumCrossplaneDnsExternal Secrets OperatorGCPGithub ActionsGitlab CiGitopsGoGrafanaHelmIngressIstioKubernetesKyvernoLinkerdLoad BalancingLokiOpa/GatekeeperOpentelemetryPrometheusPythonSealed SecretsService MeshTektonTerraformVault
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build and operate end-to-end full-stack features for Loom billing, subscriptions, integrations, and platform migrations. Develop responsive React interfaces, scalable backend APIs and microservices, payment and identity integrations, and reliable cloud-based systems. Responsibilities include observability, monitoring, testing, code reviews, documentation, security, performance optimization, and participation in Agile ceremonies and technical design reviews.
Top Skills:
AWSBitbucketCi/CdConfluenceCypressDockerGitJavaJavaScriptJestJIRAMicroservicesMochaMySQLNode.jsPostgresPythonReactRest ApisTypescript
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Own and grow the Toronto sales territory through extensive in-person outreach, business visits, live demos, partnerships, referrals, and full-cycle deal closing. Build pipeline, sell Square’s software and hardware to restaurants, retailers, and service businesses, maintain Salesforce activity and forecasts, support onboarding, and consistently exceed quota. The role requires field sales experience, reliable transportation, and residence in the assigned market.
Top Skills:
Payment Processing TechnologySalesforce
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
