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Ui ux designer • airdrie ab
Remote Swift Engineer - AI Trainer
SuperAnnotateAirdrie, Alberta, CAREVIT / CAD Designer 1
EFCO Forming & Shoring SolutionsAirdrie, AB, CAJunior Piping Designer
ChampionXRockyview, Alberta , CANREVIT / CAD Designer 1
EquestAirdrie, Alberta, CanadaDigital Build Engineer (Section Engineer)
ExpandedAirdrie, AB, CASenior Java Application Developer
MindtrisAirdrie, AB, CAElectrical Designer
AirswiftLacombe County, Alberta, CanadaH&M Sales Advisor
H&M GroupRocky View, AB, CA- Kitchener, ON (from $ 73,500 to $ 385,000 year)
- Waterloo, ON (from $ 66,913 to $ 385,000 year)
- Winnipeg, MB (from $ 90,842 to $ 140,786 year)
- Victoria, BC (from $ 121,593 to $ 136,500 year)
- St. Catharines, ON (from $ 97,500 to $ 134,400 year)
- St. Albert, AB (from $ 97,500 to $ 134,400 year)
- Surrey, BC (from $ 58,400 to $ 130,457 year)
- Calgary, AB (from $ 85,000 to $ 128,908 year)
- North York, ON (from $ 80,638 to $ 123,082 year)
- East York, ON (from $ 81,888 to $ 123,082 year)
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Remote Swift Engineer - AI Trainer
SuperAnnotateAirdrie, Alberta, CA- Full-time
- Remote
As a remote, hourly paid Swift Engineer, you will review AI-generated responses and generate high-quality Swift and iOS-focused content, evaluating the reasoning quality and step-by-step problem-solving behind each solution. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check technical details; write expert-level explanations and model solutions that demonstrate correct approaches in Swift and iOS; and rate and compare multiple AI responses based on correctness and reasoning quality. This contract 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, helping to improve the world’s premier AI models.
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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