Quantitative analyst Jobs in Nanaimo, BC
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Quantitative analyst • nanaimo bc
Last updated: 29 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
Moosehead Breweries Limited is Canadas last major brewer still owned by Canadians.Founded in 1867 and headquartered in Saint John New Brunswick Moosehead has been proudly operated by the Oland fami...Show moreLast updated: 30+ days ago
Grow your business, your way – with RBC.As an Investment Advisor at RBC Dominion Securities, you can help your clients reach their goals, while we help you reach yours.
Maybe you’ve dreamed of start...Show moreLast updated: 30+ days ago
Education, Training And Experience.Graduation from a recognized nursing program and three years recent related clinical experience in a related field or health care setting, inclusive of experience...Show moreLast updated: 30+ days ago
Tilray”) (Nasdaq : TLRY; TSX : TLRY) is a leading global lifestyle and consumer packaged goods company with operations in Canada, the United States, Europe, Australia, and Latin America that is leadi...Show moreLast updated: 30+ days ago
Grow your business, your way – with RBC.As an Investment Advisor at RBC Dominion Securities, you can help your clients reach their goals, while we help you reach yours.
Maybe you’ve dreamed of start...Show moreLast updated: 30+ days ago
The Nanaimo Community Corrections team is a wellestablished group made up of 13 Probation Officers a Local Manager and two administrative staff who work together to support safe outcomes for the co...Show moreLast updated: 29 days ago
Mosaic Forest Management Corporation is a 100% Canadian-owned timberlands manager managing private timberlands and public forest tenures in Coastal British Columbia for more than a century.We are c...Show moreLast updated: 30+ days ago
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
SuperAnnotateNanaimo, British Columbia, CARemote
Full-time
Territory Manager – Vancouver Island
Moosehead Breweries LimitedNanaimo, British Columbia, CanadaFull-time
Investment Advisor
Royal Bank of Canada>NANAIMO, CanadaFull-time
Patient Navigator
Island HealthNanaimo, BC, CATemporary
HR Analyst (Workday)
Tilray BrandsNanaimo, British ColumbiaFull-time
Investment Advisor
0000050599 RBC Dominion Securities Inc.NANAIMO, British Columbia, CanadaFull-time
SPO 27R Senior Probation Officer
The Team The Nanaimo Community Corrections teamNanaimo, British Columbia, CanadaFull-time
GIS Analyst & Developer
Mosaic Forest ManagementNanaimo, British Columbia, CanadaFull-time
Senior Programmer Analyst
BCLCRemote within, BC, CARemote
Full-time +1
- East York, ON (from $ 85,000 to $ 143,999 year)
- Calgary, AB (from $ 85,000 to $ 140,997 year)
- Quebec City, QC (from $ 85,000 to $ 140,721 year)
- North York, ON (from $ 85,000 to $ 138,000 year)
- Vancouver, BC (from $ 85,844 to $ 125,901 year)
- Pickering, ON (from $ 120,621 to $ 120,706 year)
- St. John's, NL (from $ 85,000 to $ 120,603 year)
- Toronto, ON (from $ 99,916 to $ 117,975 year)
- Bradford West Gwillimbury, ON (from $ 96,250 to $ 116,810 year)
- Old toronto, ON (from $ 99,828 to $ 115,355 year)
Remote R Engineer - AI Trainer
SuperAnnotateNanaimo, British Columbia, 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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