Qa analyst Jobs in Sylvan Lake, AB
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Qa analyst • sylvan lake ab
Last updated: 29 days ago
In this hourly, remote contractor role, you will review AI-generated English-language responses and / or generate expert language content, evaluating reasoning quality and step-by-step edits while pr...Show moreLast updated: 29 days ago
From the open road to the boardroom, we offer diverse career opportunities from coast-to-coast.We are seeking an experienced and highly analytical professional to join our team as a Senior NGL Anal...Show moreLast updated: 30+ days ago
Black & McDonald’s Western Utilities team is growing! If you are an independent, enthusiastic, and driven professional searching for an opportunity to build a solid foundation for your career, this...Show moreLast updated: 30+ days ago
Remote English Language Expert - AI Trainer
SuperAnnotateSylvan Lake, Alberta, CARemote
Full-time
Senior Analyst
Superior PropaneAlberta, CanadaFull-time
Project Manager - Utilities Construction
Black & McDonaldAB, CAFull-time
- Prince George, BC (from $ 73,274 to $ 158,633 year)
- La Prairie, QC (from $ 65,000 to $ 150,150 year)
- White Rock, BC (from $ 77,594 to $ 146,250 year)
- Owen Sound, ON (from $ 79,334 to $ 143,121 year)
- Parry Sound, ON (from $ 79,334 to $ 143,121 year)
- Laval, QC (from $ 112,500 to $ 137,570 year)
- Victoria, BC (from $ 101,000 to $ 135,672 year)
- Longueuil, QC (from $ 123,129 to $ 134,110 year)
- Brampton, ON (from $ 101,555 to $ 134,110 year)
- Markham, ON (from $ 65,000 to $ 132,443 year)
Remote English Language Expert - AI Trainer
SuperAnnotateSylvan Lake, Alberta, CA29 days ago
Job type
- Full-time
- Remote
Job descriptionBachelor’s degree (or higher) in Linguistics, English, Translation / Localization, Communications, Journalism, or a related field. Expert command of English (C2 / Native-level preferred) with Minimum C1 English proficiency required; multilingual ability (professional proficiency in at least one additional language) is strongly preferred. Strong skills in grammar, syntax, semantics, pragmatics, discourse structure, and stylistic editing across registers. Exceptional attention to detail in identifying meaning drift, ambiguity, inconsistencies, and subtle errors; able to explain corrections clearly in writing. Comfortable applying style guides and enforcing consistency (tone, terminology, punctuation, capitalization) across varied content types. Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. Previous experience with AI data training / annotation, editorial QA, localization QA, or professional copyediting is strongly preferred. Strong hands-on experience using tools like Perplexity, Gemini, ChatGPT and others
In this hourly, remote contractor role, you will review AI-generated English-language responses and / or generate expert language content, evaluating reasoning quality and step-by-step edits while providing precise, actionable feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in logic, meaning, methodology, or conceptual understanding; fact-check information when needed; write high-quality explanations and model revisions 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 language expertise directly helps improve the world’s premier AI models by making their outputs more accurate, natural, and clearly explained.
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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