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Validation engineer Offres d'emploi - Brampton, ON

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Validation engineer • brampton on

Dernière mise à jour : il y a 4 jours

Remote Senior Software Engineer

Micro1Brampton, Ontario, CA
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AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Voir plus

 • Offre sponsorisée

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CA-ON-MISSISSAUGA-P22M01 ~ 1801 Courtney Park Dr ~ P22M01 BLDG

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Télétravail
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 • Offre sponsorisée

Senior Structural Engineer, Mining

EXPBrampton, ON, Canada
Temps plein

Senior Structural Engineer, Mining .Brampton, Sudbury or North Bay, ON.At EXP, we’re driven to provide innovative solutions for the world’s built and natural environments.As a team of engineers, ar... Voir plus

Remote Senior Software Engineer

Remote Senior Software Engineer

Micro1Brampton, Ontario, CA
Il y a 5 jours
Salaire
50,00 $CA par heure
Type de contrat
  • Temps plein
  • Télétravail
Description de poste
Senior Software Engineer$50 - $100/hourpay

Required Skills

Python3JAVARustAlgorithmsBasics C++Typescriptbug fixingfeature implementationcodebase refactoringperformance optimization

About micro1

micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.

Job Title: Senior Software Engineer


Job Type: Contractor (~15 hrs a week)


Location: Remote


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


As an expert you will be creating Reinforcement Learning Environments which test an AI model’s ability to solve complex software engineering problems using Model Context Protocol (MCP) tools. Tasks may involve fixing bugs, implementing features, refactoring code, or optimizing performance while requiring agents to discover and reason over information from real MCP servers. You will design reproducible environments, deterministic verification, and golden reference solutions that accurately measure both MCP tool use and software engineering ability.



Required Skills and Qualifications:

  1. Proficiency in C++, Python, JAVA, GoLang, Typescript, or Rust.
  2. Deep understanding of algorithms, data structures, and performance tuning.
  3. Demonstrated experience in debugging complex software issues and delivering maintainable solutions.
  4. Strong background in feature development and codebase refactoring.
  5. Proven ability to optimize software for performance and scalability.
  6. Exceptional written and verbal communication skills, with a keen attention to detail.
  7. Track record of success in collaborative, cross-functional teams, ideally in remote settings.



Preferred Qualifications:

  1. Previous experience working on large-scale, distributed codebases.
  2. Familiarity with modern AI or machine learning systems is a plus, though not required.
  3. Background in participating in rigorous code reviews and contributing to the development of software best practices.


Process:

  1. Apply to the role, filling out the screening questions
  2. Complete AI Interview (approx. 30 minutes)
  3. Technical Assessment (Tentative)
  4. Hiring Manager review


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.