STEM Expert Contract WS AI Project Einstein STEM

We are looking for PhD scholars and researchers to join our WS AI Project – Einstein (STEM).

The project involves contributing domain expertise to AI-related scientific tasks by solving advanced STEM problems, reviewing technical content, evaluating AI-generated responses, and maintaining high-quality scientific standards.

If you have strong subject matter expertise and enjoy analytical problem solving, we'd love to hear from you.

Project: WS AI Project – Einstein (STEM)

Location: Remote, In WS House Kolkata

Job Type: Contract

Start Date: Immediate (subject to client approval and onboarding)

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Key Responsibilities

• Solve advanced STEM-related problems and assignments.
• Review and evaluate AI-generated scientific responses.
• Validate technical solutions for accuracy and completeness.
• Identify errors and suggest improved solutions where applicable.
• Apply analytical and critical thinking to complex STEM topics.
• Deliver high-quality work while meeting project quality standards.
  
  

• PhD completed or currently pursuing a PhD in one of the following disciplines:
• Mathematics
• Physics
• Chemistry
• Biology
• Strong analytical and problem-solving abilities.
• Excellent written English and attention to detail.
  

• Research experience
• Teaching experience
• Academic writing
• Technical content review
  
  

• Contract-based remote opportunity.
• Compensation is based on approved project work in accordance with project terms.
• Average task duration: Assignments generally require up to 4 hours based on complexity and your efficiency
• Candidates must successfully complete client onboarding and mandatory assessments before beginning project work.
• Continued participation depends on maintaining the required quality standards.
  
  

• Resume screening
• Client review (interview may be conducted if required)
• Client approval
• Onboarding and mandatory assessment
• Begin project assignments
  
  

• Work flexibility.
• Contribute to cutting-edge AI initiatives.
• Apply your research expertise to real-world AI evaluation tasks.
• Flexible, project-based engagement.