This role is for one of our clients
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, and environmental modeling. As a Pod Lead, you will guide task development, maintain scientific and technical quality standards, and ensure that computational tasks accurately reflect real-world research challenges.
The ideal candidate will have advanced research experience in Earth Sciences or a related discipline, strong scientific programming skills, and practical experience working in Linux and terminal-based computational environments.
Job Details
- Role: Pod Lead – Scientific Computing / Research Engineering Expert — Earth Sciences (Terminal Bench Science)
- Employment Type: Short-term contract
- Contract Duration: 4 weeks
- Eligible Locations: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, and Vietnam
- Maximum Rate: USD 16 per hour
- Start Date: Immediate; the original brief indicates an expected start the following week
- Availability: Full-time commitment of 8 hours per day, with a minimum of 40 hours per week
- Time Zone Requirement: At least 4 hours of overlap with US Pacific Time (PST)
Requirements
Key Responsibilities
- Content Analysis: Review and analyze complex educational content, research questions, datasets, logical puzzles, and academic scenarios.
- Research and Fact-Checking: Use credible online sources to verify claims, validate information, and assess the accuracy of responses.
- Information Synthesis: Summarize extensive information into concise, structured, coherent, and easy-to-understand explanations.
- AI Response Evaluation: Assess AI-generated answers for factual accuracy, relevance, completeness, clarity, and logical consistency.
- Feedback and Annotation: Identify errors, provide constructive corrections, and explain the reasoning behind suggested improvements.
- Educational Conversation Assessment: Review genuine conversation histories involving learning, academic work, exam preparation, research, projects, and skill development.
- Training Data Quality: Create analytical examples, annotations, and evaluation scenarios that help improve AI model performance.
- Independent Problem-Solving: Apply critical thinking, creativity, and lateral reasoning to unfamiliar questions and complex analytical tasks.
Required 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.
Preferred Qualifications
- 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.
New Zealand