Data Annotation Specialist, Engineering

About the Role

The day-to-day responsibilities of this role will include evaluating the model's ability to respond to engineering procedures and workflows, tasking models to complete engineering tasks, and labeling and proofreading machine-written and human-written engineering-related outputs. You will also be responsible for following the company's style guide and making recommendations on unique situations that fall outside of its scope.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do, and the company believes that a diverse range of perspectives is a requirement for building great products.

What You Will Do

• Evaluate the model's ability to respond to engineering procedures and workflows
• Task models to complete engineering tasks along with verified information to evaluate the accuracy of the model's responses
• Label, proofread, and improve machine-written and human-written engineering-related outputs
• Follow the company's style guide and make recommendations on unique situations that fall outside of its scope
• Work with the engineering team to identify and prioritize tasks for annotation
• Develop and maintain a thorough understanding of the company's AI models and their applications
• Collaborate with the data science team to develop and implement new annotation techniques
• Participate in the development of the company's style guide and annotation standards
• Provide feedback and suggestions for improving the annotation process

What We Are Looking For

• 3+ years of industry experience working in engineering fields (civil, mechanical, electrical, chemical)
• Technician/engineering specialist training and experience preferred
• Education background in engineering (Bachelors, Masters, or similar)
• Experience on medium-large scale engineering projects involving designing, prototyping, and manufacturing components
• Experience with CAD software, material billing, and product lifecycle management (PCMs)
• Strong understanding of AI models and their applications
• Excellent written and verbal communication skills
• Ability to work independently and as part of a team
• Strong attention to detail and ability to maintain high levels of accuracy

Nice to Have

• Experience working with remote teams and collaborating with colleagues across different time zones
• Familiarity with Agile development methodologies and version control systems (e.g., Git)
• Experience with data annotation tools and software (e.g., Labelbox, Hugging Face)
• Knowledge of programming languages (e.g., Python, Java)

Benefits and Perks

• Competitive contract rate of 30 CAD/hour
• Opportunity to work on cutting-edge AI projects and contribute to the development of innovative solutions
• Flexible and autonomous work environment with remote work options
• Access to a diverse and talented team of professionals
• Professional development opportunities and training
• Performance incentives and bonuses
• Opportunity to work with a leading AI company and be part of a growing industry

• To stand out in this role, make sure to highlight your experience working with AI models and your ability to annotate and label data accurately.
• Familiarize yourself with the company's style guide and annotation standards before applying.
• Be prepared to provide examples of your work and experience during the interview process.
• Research the company's AI models and their applications to demonstrate your interest and knowledge.
• Consider developing a portfolio of your work to showcase your skills and experience.
• Be prepared to work independently and as part of a team, and be flexible with your work schedule.