Engineering Subject Matter Expert @ Taskify
placeHybrid
attach_money $60,000
businessHybrid
schedulePart Time
Posted 21 days ago
Your Application Journey
Interview
Email Hiring Manager
******  @taskify.com
Recommended after applying
Job Details
About the Role
The Engineering Subject Matter Expert role at Taskify is a remote position where experienced professionals and researchers within the engineering domains help train and refine cutting-edge AI systems.
Responsibilities
- Create challenging, graduate-level problems that test AI reasoning.
- Develop grading rubrics that define high-quality answers.
- Write model answers that achieve full marks on your rubric.
- Review and evaluate AI-generated responses for accuracy and depth.
- Provide structured, constructive feedback to enhance model performance.
Requirements
- PhD or Master’s degree (or current enrollment) in Civil, Electrical, Industrial, or Mechanical Engineering.
- Strong problem-solving and critical reasoning skills.
- Experience in research, academia, or technical content development is preferred.
- Excellent written communication and proficiency in English.
Apply Now
If you have a passion for engineering and a curiosity about AI, seize this opportunity to make a global impact by applying your expertise in a cutting-edge field.
Key skills/competency
- AI Training
- Problem Design
- Grading Rubrics
- Model Answers
- Feedback
- Research
- Academia
- Engineering
- Critical Reasoning
- Communication
How to Get Hired at Taskify
🎯 Tips for Getting Hired
- Research Taskify's culture: Understand their mission and recent projects.
- Tailor your resume: Highlight advanced engineering and AI training skills.
- Showcase technical expertise: Include problem-solving and research examples.
- Prepare for interviews: Focus on engineering challenges and case studies.
📝 Interview Preparation Advice
Technical Preparation
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Review advanced engineering theories and practices.
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Practice creating grading rubrics for academic tests.
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Refresh on technical writing and model answer formulation.
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Study AI system evaluation and feedback methods.
Behavioral Questions
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Describe challenging problem-solving experiences.
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Explain feedback delivery in technical projects.
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Discuss collaboration in remote teams.
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Share examples of academic research contributions.
Frequently Asked Questions
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