Data Annotation Specialist (Engineering)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Annotation Specialist (Engineering): Breaking down complex engineering tasks into individual steps to train AI models with an accent on reporting, component search, and material billing. Focus on evaluating model responses, labeling machine-written outputs, and ensuring logical accuracy in engineering workflows.
Location: Remote (Must be based in Canada)
Salary: 30 CAD/hour
Company
is an AI research company training frontier models for developers and enterprises to power content generation, semantic search, RAG, and agents.
What you will do
- Break down engineering tasks such as reporting, component search, and material billing into discrete steps for tool-use training.
- Evaluate the model's ability to respond to engineering procedures and workflows.
- Task models with verified information to assess the accuracy of responses.
- Label, proofread, and improve both human-written and machine-generated engineering outputs.
- Follow style guides and provide recommendations for unique edge cases.
Requirements
- Must be based in Canada.
- 3+ years of industry experience in engineering fields (civil, mechanical, electrical, or chemical).
- Educational background in engineering (Bachelors, Masters, or similar).
- Experience with medium-to-large scale engineering projects involving design, prototyping, and manufacturing.
- Proficiency with CAD software, material billing, and Product Lifecycle Management (PLM) systems.
Nice to have
- Technician or engineering specialist training and experience.
Culture & Benefits
- Flexible part-time engagement (minimum 16 hours per week).
- 12-month contract duration with performance incentives.
- Opportunity to work on the cutting edge of AI research.
- Independent contractor relationship allowing for multiple simultaneous clients.
Hiring process
- Initial screening of resume and writing samples.
- Virtual annotation test including writing tasks and chatbot interaction.
- Short video screen with the Operations Team.
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