Engineer Jobs in Red Deer, AB
Create a job alert for this search
Engineer • red deer ab
Last updated: 11 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
Hours : 32 to 40 hours per week.Experience : 2 years to less than 3 years.Food technology and processing.Relocation costs not covered by employer.
Private company, corporation or industry.Supervise te...Show moreLast updated: 11 days ago
Communities everywhere share the need for clean water.And as they work to meet that need, they’re facing new, more complex challenges every day.
Our water professionals collaborate to contribute inn...Show moreLast updated: 19 days ago
The Operational Excellence Analyst will be responsible for developing and implementing the corporate operational excellence strategy at an Interpro Pipe & Steel Business Systems (EBS) deployed unit...Show moreLast updated: 30+ days ago
Remote R Engineer - AI Trainer
SuperAnnotateRed Deer, Alberta, CARemote
Full-time
electrical research engineer
SmartCoffeeBlackfalds, AB, CAPermanent
Civil Engineer In Training
StantecRed Deer, ABFull-time +1
Operational Excellence Analyst
EVRAZ North AmericaRed Deer, AB, CanadaFull-time
- Mississauga, ON (from $ 87,500 to $ 180,463 year)
- Goderich, ON (from $ 50,466 to $ 170,798 year)
- Yarmouth, NS (from $ 59,650 to $ 166,524 year)
- Listowel, ON (from $ 72,900 to $ 162,135 year)
- Aylmer, ON (from $ 72,804 to $ 160,773 year)
- Norfolk, ON (from $ 75,473 to $ 158,825 year)
- Squamish, BC (from $ 66,407 to $ 157,624 year)
- Carleton Place, ON (from $ 84,228 to $ 155,984 year)
Remote R Engineer - AI Trainer
SuperAnnotateRed Deer, Alberta, 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.
Your Profile :