- Search jobs
- Oshawa, ON
- mechanical engineer
Mechanical engineer Jobs in Oshawa, ON
Create a job alert for this search
Mechanical engineer • oshawa on
Remote Mechanical Engineer - AI Trainer
SuperAnnotateOshawa, Ontario, CAElectrical Controls Engineer
Swegon North AmericaAjax, Ontario, CAProject & Control Engineer / Officer
Spirit Omega Inc.Oshawa, ON, CA26-026 - Project Leader - EPC Projects - 36 month contract - Clarington - Onsite
CorGTAOshawa, ON, CanadaHeavy Equipment Maintenance Technician- Part Time
Woodbridge PalletBowmanville, ON, CA- Promoted
AZ Operator, Emergency Response
GFL EnvironmentalBowmanville, Ontario, CAautomotive service technician
Fraser Ford SalesOshawa, ON, CA310T Truck & Coach Technician - Peterbilt
BrandtWhitby, CAOnboard Installation Technician
AlstomWhitby, ON, CAProject Engineer
Bird ConstructionAjaxSenior Systems Engineer
Essence Coaching GroupOshawa, ON, CanadaQuality Control Inspector, Mechanical
AeconBowmanville, ON, CAMechanical Design Engineer
MTS RecruitingOshawa, OntarioMechanical Quality Control Inspector (Nuclear)
Black & McDonald LimitedBowmanville, Ontario, CanadaField Service Technician
Randstad CanadaWhitby, Ontario, CASenior Mechanical Engineer/Officer- Piping & Components Analysis
Ontario Power GenerationOshawa, ON, CARemote Mechanical Engineer - AI Trainer
SuperAnnotateAjax, Ontario, CAElectrical Controls Engineer/Technologist
Adecco CanadaBowmanville, Ontario, CanadaFullstack Software Engineer -.Net/Angular
Motion RecruitmentWhitby, Ontario, Canada- Sault Ste. Marie, ON (from $ 66,393 to $ 178,470 year)
- Airdrie, AB (from $ 58,500 to $ 175,500 year)
- Mission, BC (from $ 120,000 to $ 175,500 year)
- Dollard-Des Ormeaux, QC (from $ 120,177 to $ 167,787 year)
- Bois-des-Filion, QC (from $ 120,177 to $ 167,787 year)
- Rouyn-Noranda, QC (from $ 83,399 to $ 164,760 year)
- Dorval, QC (from $ 119,981 to $ 161,358 year)
Popular searches
Remote Mechanical Engineer - AI Trainer
SuperAnnotateOshawa, Ontario, CA- Full-time
- Remote
In this hourly, remote contractor role, you will review AI-generated engineering solutions and / or generate expert Mechanical Engineering content, evaluating reasoning quality and step-by-step problem-solving while providing crisp written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify methodological or conceptual errors; fact-check assumptions; write high-quality explanations and model solutions; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your mechanical engineering expertise directly helps improve the world’s premier AI models by making their technical reasoning more accurate, reliable, and clearly explained.
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 :
- Bachelor’s degree (or higher) in Mechanical Engineering, Aerospace Engineering, or Engineering Physics (Thermo / Heat Transfer / Fluids / Statics-Dynamics / Differential Equations).
- Strong, confident fundamentals in mechanics, thermodynamics, fluid mechanics, applied physics, engineering math, and system modeling.
- Comfortable evaluating technical solutions for correctness, methodology, units / dimensional consistency, assumptions, and physical plausibility with high attention to detail.
- Able to clearly explain reasoning and corrections in writing; Minimum C1 English proficiency.
- Experience applying basic design principles (requirements, constraints, margins, trade-offs) in real engineering contexts.
- Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
- Previous experience with AI data training / annotation or technical reviewing is strongly preferred.