Javascript developer Offres d'emploi - Saint John, NB
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Javascript developer • saint john nb
Dernière mise à jour : il y a 6 jours
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...Voir plusDernière mise à jour : il y a 21 jours
What makes us a different kind of employer?.As a national health solutions partner, Medavie is committed to improving the wellbeing of Canadians — and in our digital-first culture, technology is ke...Voir plusDernière mise à jour : il y a plus de 30 jours
Salary Range (plus eligible to receive a performance based incentive, applicable to position) : .Experienced data developer needed.
Using your experience in Agile Scrum methodology and AWS data pipel...Voir plusDernière mise à jour : il y a plus de 30 jours
Torbay Road St Johns NL A1A 5G9 Canada.Its fun to work in a company where people truly BELIEVE in what theyre doing!.Were committed to bringing passion and customer focus to the business.We are loo...Voir plusDernière mise à jour : il y a plus de 30 jours
We are looking for an experienced.This is a permanent position that is remote to start with later relocation to.Our client is a global enterprise company with a product that you've likely used.Voir plusDernière mise à jour : il y a plus de 30 jours
Since 1892 OPW customers have been able to count on us to revolutionize fluid-handling operations around the world.As a global leader in fluid-handling solutions the mission of OPW is to be a devel...Voir plusDernière mise à jour : il y a 6 jours
Montreal, QC; Brossard, QC; Burlington, ON; Calgary, AB; Edmonton, AB; Fredericton, NB; Halifax, NS; Kitchener, ON; Laval, QC.
Moncton, NB; Ottawa, ON; Quebec City, QC; Regina, SK; Saint John, NB; ...Voir plusDernière mise à jour : il y a plus de 30 jours
Undertake surveys for geospatial data collection (topography and fixed site features).Collection and management of geospatial data from a variety of sources, such as Total Station, GNSS equipment, ...Voir plusDernière mise à jour : il y a plus de 30 jours
JOB TITLE Human Service Practitioner.Human Service Support Workers work within the Employment-First team.These programs focus on engaging and empowering participants living with disabilities to dev...Voir plusDernière mise à jour : il y a plus de 30 jours
Please note this role will work in a hybrid environment.The successful candidate must be located near a Canadian Blood Services site and will be working a mixture of on-site and off-site work based...Voir plusDernière mise à jour : il y a 8 jours
CAA Atlantic is recognized as one of.Canadas Most Admired Corporate Cultures.Waterstone Human Capital)! Were committed to supporting your development through comprehensive training programs and con...Voir plusDernière mise à jour : il y a 18 jours
Remote JavaScript Engineer - AI Trainer
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Remote JavaScript Engineer - AI Trainer
SuperAnnotateSaint John, New Brunswick, CAIl y a 21 jours
Type de contrat
- Temps plein
- Télétravail
Description de posteMinimum 2+ years of professional JavaScript experience in production environments. Strong understanding of closures, async / await, prototype-based inheritance, and JavaScript event loop behavior, with deep proficiency in modern Vanilla JavaScript (ES6 / ES2015+). Proven ability to evaluate correctness, readability, and performance of JavaScript code, including identifying subtle logic and edge-case issues. Hands-on work experience in software engineering, preferably in roles involving code review, mentoring, or technical design discussions. Significant experience using LLMs or AI coding assistants while programming, combined with a critical mindset for validating their output. Excellent English writing skills, capable of producing clear, concise, and pedagogical technical explanations. Strong proficiency with at least one major frontend framework (such as React, Angular, or Vue.js) or backend runtime (such as Node.js with Express or NestJS). Minimum Bachelor’s degree in Computer Science or a closely related technical field. Previous experience with AI data training, data annotation, or evaluation of AI-generated technical content is a strong plus; Minimum C1 English proficiency and a highly detail-oriented working style are required. Preferred : contributions or merged PRs in JavaScript or TypeScript open-source projects, familiarity with bundlers and tooling (Webpack, Vite, Rollup), frontend–backend integration and Node.js runtime behavior, reviewing typed API layers, DTOs, or schema-driven designs, and experience evaluating frontend logic, async patterns, and state management.
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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