Statistical programmer Jobs in Milton, ON
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Statistical programmer • milton on
Last updated: 18 days ago
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
We are seeking a talented, dynamic, resilient and result driven.The Demand Planner is a key member of the ROCKWOOL North America Supply Chain organization, responsible for building high‑quality dem...Show moreLast updated: 18 days ago
Work Location : 17150 Yonge Street Newmarket; Hybrid – 50% onsite work.Reporting to the Supervisor, Data Services, is responsible for providing initial and on-going Homeless Individuals and Families...Show moreLast updated: 30+ days ago
The Senior / Lead Data Engineer will bepart of McKesson Decision Intelligence team, and responsibilities include managing data exploration and analysis, requirements assessment, data source identif...Show moreLast updated: 30+ days ago
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...Show moreLast updated: 30+ days ago
The Senior Data Scientist II will leverage advanced analytics and machine learning techniques to extract insights from complex data sets.
They will collaborate with cross-functional teams to drive d...Show moreLast updated: 30+ days ago
Remote R Engineer - AI Trainer
SuperAnnotateMilton, Ontario, CARemote
Full-time
Demand Planner
ROCKWOOL GroupMilton, OntarioFull-time
Homeless Individuals and Families Information System (HIFIS) Community Coordinator (York Region)
Ontario Municipal Social Services AssociationYork Region, CAFull-time +1
Senior / Lead Data Engineer
McKesson2300 Meadowvale Blvd, CAN, ON, MississaugaFull-time
Intermediate Programmer Analyst
Medavie Blue CrossON, CAFull-time +1
Senior Data Scientist II
RELXOntarioFull-time
- Hamilton, ON (from $ 71,107 to $ 194,304 year)
- Laval, QC (from $ 99,517 to $ 192,913 year)
- Mississauga, ON (from $ 108,880 to $ 148,814 year)
- Vancouver, BC (from $ 75,507 to $ 145,000 year)
- Old toronto, ON (from $ 89,037 to $ 140,614 year)
- Toronto, ON (from $ 123,655 to $ 139,714 year)
- Montreal, QC (from $ 126,396 to $ 138,241 year)
- North York, ON (from $ 60,000 to $ 132,000 year)
- East York, ON (from $ 60,000 to $ 132,000 year)
Remote R Engineer - AI Trainer
SuperAnnotateMilton, Ontario, CA30+ days ago
Job type
- Full-time
- Remote
Job description2+ 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.
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.
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