Waterloo, On Data engineering developer Jobs – 95 Openings This Week

Senior Software Engineer (Python) - Agent Evaluation - Freelance/Remote 100+ openings
Braintrust —Waterloo, ON
- Part-time
- Remote
- English
- Python
Director Software Development AI Platform & Real-World Evidence
Verily —Waterloo, ON
- $207,000–$233,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Product Manager, Crypto
Alpaca —Waterloo, ON
- Remote
- Computer Science
- Engineering
- Finance
Quick apply
Supervisor, Infrastructure Planning (Sanitary and Stormwater)
City of Kitchener —Kitchener, ON
- $60.88–$76.10 an hour
- Temporary
- Research
- Supervising experience
- Project management
4d
Senior AI Platform Engineer
Alpaca —Waterloo, ON
- Remote
- DevOps
- APIs
- AI
Quick apply
Director, AI Enablement
Agfa —Waterloo, ON
- DevOps
- Paid time off
Sr. Manager, Technical Architect – Enterprise AI Solutions
Canadian Solar Inc. —Kitchener, ON
- Full-time
- Azure
- Computer Science
- DevOps
- Dental care
- Paid time off
Quick apply

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Teamcenter PLM Developer (Active Workspace)
Multimatic —Markham, ON
Bachelor’s degree in Computer Science, Engineering, or a related discipline. Multimatic offers a competitive compensation package, comprehensive benefits,…
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data engineering developer jobs near waterloo, on

Senior Software Engineer (Python) - Agent Evaluation - Freelance/Remote 100+ openings

Braintrust -
Waterloo, ON

Apply Now

Job details

Part-time | Freelance

Qualifications

CI/CD
React
Full-stack development
English
Docker
PostgreSQL
TypeScript
Python

Full job description

Job description

***This opportunity is intended for experienced Senior Python Engineers only****

Open to candidates in the North America, South America, Asia and Europe.
Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves

We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.

You'll create challenging tasks and evaluation criteria within realistic simulated environments:

Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history
Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent
Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient
Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust

What this is NOT

Not data labeling
Not prompt engineering
Not writing code from scratch - the agent writes most of the code; you guide and evaluate

What we look for - You must meet all the requirements in order to be considered for this project:

5+ years of professional experience with Python.
Strong experience with FastAPI, pytest, and async/await.
Hands-on experience with Docker, PostgreSQL, and CI/CD pipelines.
Proven experience writing and maintaining automated tests (not just executing them).
Full-stack experience with React and TypeScript is a plus.
English proficiency at B2 level or higher.
Availability to work 30+ hours per week.

Why this is hard

Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.

How it works

Apply Pass qualification(s) Join a project Complete tasks Get paid

Hiring & Onboarding Process

The process is designed to move quickly and typically includes the following steps:

App review and invitation to a virtual project introduction session (approximately 30 minutes)
Platform registration and identity verification
Technical assessment (approximately 35 minutes)
Background check (completed at no cost to candidates)
Onboarding and project-specific training tasks
Begin production work!

Additional Requirements

Willingness to complete identity verification as part of the onboarding process.
Ability to complete a technical assessment.
Willingness to join and participate in Discord, which will be used for project communication and updates.
Successful completion of a background check is required prior to onboarding.
Reliable internet connection and ability to communicate effectively in a remote environment.

Apply Now

Refine Your Search

data engineering developer jobs in waterloo, on

Senior Software Engineer (Python) - Agent Evaluation - Freelance/Remote 100+ openings

Director Software Development AI Platform & Real-World Evidence

Product Manager, Crypto

Supervisor, Infrastructure Planning (Sanitary and Stormwater)

Senior AI Platform Engineer

Director, AI Enablement

Sr. Manager, Technical Architect – Enterprise AI Solutions

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