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Entry level android developer • delta bc
Remote Kotlin Engineer - AI Trainer
SuperAnnotateDelta, British Columbia, CAWeb site developer
Celtic Infotech Ltd.Surrey, BC, CALine Cook (Entry Level)
White SpotRichmond, CanadaFull-stack Developer
Modern Advisor Canada IncBritish Columbia, Alberta, CanadaSoftware Developer
General FusionRichmond, BC, CAWeb application developer
HSB IT Solution LtdSurrey, BC, CASenior Developer (Data)
Farm Credit CanadaVarious FCC office s in British Columbia may be consideredEntry Level Sales Associate
The Acquisition GroupRichmond, BC, CASenior Java Developer
Henry Schein OneSurrey, British Columbia, CAWeb developer
Bulwark Security & AV Solutions Ltd.Surrey, BC, CAFirmware & Hardware Developer
SST WirelessRichmond, British Columbia, CanadaWeb developer
Canpro Consulting Inc.Surrey, BC, CAWork from Home Entry-Level Office Assistant
Top Level PromotionsNew Westminster, BC, ca.Net PHP Developer
Primacorp Ventures IncNew Westminster, British Columbia, CAEntry Level Production Worker
AerotekSurrey,BC,CanadaPopular searches
Remote Kotlin Engineer - AI Trainer
SuperAnnotateDelta, British Columbia, CA- Full-time
- Remote
As a remote, hourly paid Kotlin Engineer, you will review AI-generated responses and generate high-quality Kotlin-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 information; craft expert-level explanations and model solutions that demonstrate correct approaches; and rate and compare multiple AI responses based on correctness and reasoning quality. T
his 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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