[Hiring] Pod Lead - Scientific Computing / Research Engineering Expert - Earth Sciences @Weekday AI

Role Description

We are seeking an experienced Pod Lead – 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:

• Climate science
• Atmospheric processes
• Geophysics
• Oceanography
• Geology
• Hydrology
• Remote sensing
• Environmental modeling

As a Pod Lead, you will:

• Guide task development
• Maintain scientific and technical quality standards
• Ensure that computational tasks accurately reflect real-world research challenges

Qualifications

• At least 1 year of relevant experience
• Recent graduate or currently pursuing a degree
• Strong fluency in U.S. English (en-US), including reading comprehension, grammar, and written communication
• An active, previously established Gemini App account with at least 18 months of conversation history
• At least 10 separate conversations related to education, learning, academics, exam preparation, research, projects, or skill development
• Ability to provide an exported JSON file containing the required conversation history for review
• Strong analytical, research, logical reasoning, and problem-solving abilities
• Ability to evaluate information critically and provide detailed, evidence-based explanations
• Good attention to detail and the ability to work independently in a remote environment

Requirements

• Pursuing or holding a bachelor's degree in Engineering, Literature, Journalism, Communications, Arts, Statistics, or a related discipline
• Experience in business analysis, research, writing, editing, translation, journalism, or content evaluation
• Familiarity with Microsoft Excel, Google Sheets, Google Docs, and other productivity tools
• Ability to interpret data, perform basic arithmetic, and identify trends and relationships
• Experience using AI tools for research, information analysis, or content evaluation
• Strong documentation skills and the ability to communicate findings in a clear, structured format

Account and Data Submission Requirements

• Candidates must maintain a genuine Gemini App account established before applying for the project
• The account must contain at least 18 months of conversation history and a minimum of 10 relevant educational conversations
• Candidates must submit an exported JSON file containing the required conversation history for eligibility review
• Candidates may remove personal information and individual chats from the exported JSON file before submission
• Creating a new account solely to participate in this project does not meet the stated eligibility requirements
• The submitted conversation history will be reviewed to verify eligibility before onboarding

Selection Process

• Interest Check Form: Submit the initial application and confirm interest in the project
• Google Forms Assessment: Complete the required assessment to demonstrate analytical ability, comprehension, and relevant skills
• Delivery Manager Review: Complete the final review of the application, assessment, and eligibility requirements

Compensation and Engagement Terms

• The role offers $30 per hour for approved project work
• Candidates who submit the required JSON conversation-history file and are hired will receive an additional one-time payment of $50
• The assignment lasts 16 weeks and requires full-time availability, including at least 4 hours of daily overlap with PST
• This is a contractor engagement and does not include medical benefits or paid leave