Software qa engineer • old toronto on
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems.Turing support... Show more
KitchenMate powers a chain of hot-food micro-markets at the heart of big buildings where people live, work, and play.We are on a mission to provide access to high quality meals to everyone, while r... Show more
Job Description Note: This co-op position is open only to Laurentian /McMaster students.The Company: Hexagon is a global leader in digital reality solutions, combining sensor, software, and auton... Show more
Rockstar is recruiting for an early-stage, well-funded startup that is transforming how enterprise accounting teams manage the month-end close process.The founding team brings deep experience from ... Show more
Headquartered in San Francisco, our investors include.QA / Software Engineering Reviewer – Browser Test Validation.Review browser-based testing workflows for.Assess technical feasibility and reliab... Show more
We're looking for a visionary Senior Software Engineer to provide strategic technical leadership and deep subject-matter expertise in designing and implementing enterprise-scale AI services.This is... Show more
An organization that has been in the market for more than 35 years, dedicated to improving our customers’ financial well-being through comprehensive and innovative solutions? 🏛 .RRAE (Retail Risk ... Show more
Global Grade: 12 (Software Engineer IV).Primary Location: Toronto, Canada.Total Compensation Range in CAD: $115,000 - $127,000.We are the innovators at the heart of the payments technology industry... Show more
At Deloitte, our Purpose is to make an impact that matters.We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future.Our work underpin... Show more
Our client, a leading financial institution, is seeking a highly skilled ETL Quality Assurance Testing professional to join their team.In this role, you will support parallel projects in a fast-pac... Show more
Our engineering team builds and runs the entire platform: product features, vulnerability scanners, data ingestion pipelines, AI-powered workflows, and APIs.We're small, Toronto-based, and frequent... Show more
Appear is building the infrastructure that helps brands get cited by AI: ChatGPT, Perplexity, Google AI Overviews, Gemini.We're early, we're growing fast, and we need someone who can sell a categor... Show more
At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells.Our platform empowers millions of buyers and sellers in more than 190 markets around the world.... Show more
Our client specializing in cloud communication, is looking to add dual.Canada and comes with an amazing benefit package.To provide some clarity, 80% of this role is QA and 20% is going to.The natur... Show more
ARTERNAL CRM (Customer Relational Management) is an up-and-coming player in the technology of the contemporary art scene! We're looking for our first hire in QA to take some load off of the enginee... Show more
We are looking for an experienced Sr.You will work closely with developers, product owners, and DevOps teams to ensure high-quality delivery of modern web, API, and enterprise-grade applications.Th... Show more
We are looking for a highly experienced Quality Engineering (QE) Lead to drive Quality Engineering practices and test automation excellence for Emerging Payments application within RBC Technology.T... Show more
Parallelz is building a novel technology platform that enables new ways of delivering, discovering, and extending mobile applications, in ways that were never thought possible.We allow developers t... Show more
We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks.This role is best suited for developers who can... Show more
Link Logistics Real Estate (“Link”) is a leading operator of warehouses and business parks, specializing in last-mile logistics real estate.Established by Blackstone in 2019, the company connects c... Show more
About Us:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems.
Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.
Project Overview:
As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
What Does a Typical Day Look Like?
Required Skills:
Engagement Details:
Note: As part of assessments you will go through an AI video interview.
After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
About Turing:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.
