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Analyst • quesnel bc

Last updated: 3 hours ago
Remote R Engineer - AI Trainer

Remote R Engineer - AI Trainer

SuperAnnotateQuesnel, British Columbia, CA
Remote
Full-time
As a remote, hourly paid R Engineer, you will review AI-generated responses and generate high-quality R and data-analysis-focused content, evaluating the reasoning quality and step-by-step problem-...Show moreLast updated: 30+ days ago
  • New!
Senior Archaeologist

Senior Archaeologist

StantecQuesnel, BC, CA
Full-time +1
Join or sign in to find your next job.Be among the first 25 applicants.Grounded in safety, quality, and ethics, our experts lead their fields with dedication, a creative spirit, and a vision for gr...Show moreLast updated: 4 hours ago
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Financial Analyst

Financial Analyst

Cariboo Gold ProjectQuesnel, BC, CA
Full-time
Americas, led by a world-class team with a proven track record of discovering, developing and operating tier-1 projects.The Company’s current projects include the Cariboo Gold Project located in Br...Show moreLast updated: 3 hours ago
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MEDICAL RADIOGRAPHY TECHNOLOGIST

MEDICAL RADIOGRAPHY TECHNOLOGIST

Northern Health - BCQuesnel, BC, CA
Full-time
Medical Radiography Technologist.Employer : Northern Health - BC.Location : Quesnel, British Columbia, Canada.Shift Hours : Days, Evenings – 07 : 00 to 15 : 30, 08 : 00 to 16 : 30, 14 : 30 to 23 : 00, rotating.Ev...Show moreLast updated: 3 hours ago
Senior Programmer Analyst

Senior Programmer Analyst

BCLCRemote within, BC, CA
Remote
Full-time +1
Our typical hiring range will be + / - 10% of the midpoint listed above.Factors influencing this decision include qualifications and market conditions for the role. BCLC’s two offices are located on t...Show moreLast updated: 30+ days ago
Remote R Engineer - AI Trainer

Remote R Engineer - AI Trainer

SuperAnnotateQuesnel, British Columbia, CA
30+ days ago
Job type
  • Full-time
  • Remote
Job description

As a remote, hourly paid R Engineer, you will review AI-generated responses and generate high-quality R and data-analysis-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 statistical methodology or data-wrangling workflows; fact-check analytical results; write expert-level explanations and model solutions that demonstrate correct use of R; 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, directly 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.

Your Profile :

  • 2+ years of hands-on experience using R for data analysis, statistics, or data science work.
  • Strong proficiency in R programming, including data wrangling, functional programming patterns, and writing reusable functions or packages.
  • Solid grounding in applied statistics, including regression, inference, and model validation, with practical experience implementing these methods in R.
  • Experience building end-to-end analyses in R that include data cleaning, exploratory analysis, modeling, and visualization.
  • Familiarity with common R ecosystems such as tidyverse, data.table, and ggplot2, and the ability to choose appropriate tools for a given task.
  • Professional experience in a data-focused role such as data scientist, statistician, quantitative analyst, or similar.
  • Minimum Bachelor’s degree in Statistics, Mathematics, Computer Science, or a closely related quantitative field.
  • Significant experience using large language models (LLMs) to assist with coding, analysis design, and code review in R.
  • Excellent English writing skills with the ability to document analyses and explain complex statistical ideas clearly to non-experts.
  • Previous experience with AI data training or model evaluation is strongly preferred, and Minimum C1 English proficiency is required.