Role Description
This role is for one of our clients. We are seeking an experienced Pod Lead β Scientific Computing / Research Engineering Expert in Earth Sciences to support an advanced AI training and evaluation initiative. This role combines scientific domain expertise, research software engineering, computational problem-solving, and technical leadership to develop realistic, challenging, and objectively verifiable terminal-based scientific tasks.
The successful candidate will help design and validate scientific workflows involving:
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Climate science
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Atmospheric processes
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Geophysics
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Oceanography
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Geology
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Hydrology
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Remote sensing
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Environmental modeling
As a Pod Lead, you will:
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Guide task development
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Maintain scientific and technical quality standards
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Ensure that computational tasks accurately reflect real-world research challenges
Qualifications
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At least 1 year of relevant experience
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Recent graduate or currently pursuing a degree
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Strong fluency in U.S. English (en-US), including reading comprehension, grammar, and written communication
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An active, previously established Gemini App account with at least 18 months of conversation history
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At least 10 separate conversations related to education, learning, academics, exam preparation, research, projects, or skill development
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Ability to provide an exported JSON file containing the required conversation history for review
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Strong analytical, research, logical reasoning, and problem-solving abilities
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Ability to evaluate information critically and provide detailed, evidence-based explanations
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Good attention to detail and the ability to work independently in a remote environment
Requirements
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Pursuing or holding a bachelor's degree in Engineering, Literature, Journalism, Communications, Arts, Statistics, or a related discipline
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Experience in business analysis, research, writing, editing, translation, journalism, or content evaluation
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Familiarity with Microsoft Excel, Google Sheets, Google Docs, and other productivity tools
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Ability to interpret data, perform basic arithmetic, and identify trends and relationships
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Experience using AI tools for research, information analysis, or content evaluation
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Strong documentation skills and the ability to communicate findings in a clear, structured format
Account and Data Submission Requirements
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Candidates must maintain a genuine Gemini App account established before applying for the project
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The account must contain at least 18 months of conversation history and a minimum of 10 relevant educational conversations
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Candidates must submit an exported JSON file containing the required conversation history for eligibility review
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Candidates may remove personal information and individual chats from the exported JSON file before submission
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Creating a new account solely to participate in this project does not meet the stated eligibility requirements
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The submitted conversation history will be reviewed to verify eligibility before onboarding
Selection Process
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Interest Check Form: Submit the initial application and confirm interest in the project
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Google Forms Assessment: Complete the required assessment to demonstrate analytical ability, comprehension, and relevant skills
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Delivery Manager Review: Complete the final review of the application, assessment, and eligibility requirements
Compensation and Engagement Terms
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The role offers $30 per hour for approved project work
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Candidates who submit the required JSON conversation-history file and are hired will receive an additional one-time payment of $50
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The assignment lasts 16 weeks and requires full-time availability, including at least 4 hours of daily overlap with PST
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This is a contractor engagement and does not include medical benefits or paid leave