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Entry level javascript developer Jobs in Richmond Hill, ON
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Entry level javascript developer • richmond hill on
Remote JavaScript Engineer - AI Trainer
SuperAnnotateWillowdale, Ontario, CAPerformance Test Engineer - JMeter, K6
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American Income Life Insurance CompanyVaughan, ON, CAEntry-Level Safety Specialist - McNally Corporation
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QA Consultants Inc.Markham, Ontario, CanadaSenior / Team Lead Full Stack (Node.js / React) developer (Toronto, hybrid)
TechMagicToronto, hybrid, Ontario, CanadaEntry level Payroll Administrator - Amico Corporation
AmicoRichmond Hill, ON, CanadaLead developer
Plan IT SearchMarkham, Ontario, CanadaEntry Level Door-to-door Sales Representative
Lawn Plus CanadaMarkham, ON, CAJPC -1461 - Senior Web Developer
ITS GlobalOntarioPopular searches
Remote JavaScript Engineer - AI Trainer
SuperAnnotateWillowdale, Ontario, CA- Full-time
- Remote
As an hourly paid, fully remote JavaScript Engineer for AI Data Training, you will review complex AI-generated code and explanations or generate new ones, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt, identify errors in methodology or conceptual understanding, fact-check information, write high-quality explanations and model solutions that demonstrate correct methods, and rate and compare multiple AI responses based on correctness and reasoning quality.
This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation model labs. Your work will directly help improve the world’s premier AI models while giving you the flexibility of impactful, detail-oriented remote contract work.
Key Responsibilities :
- Develop AI Training Content : Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
- Optimize AI Performance : Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
- Ensure Model Integrity : Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
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