Pod lead - Scientific Computing / Research Engineering Expert - Earth Sciences

Weekday AI; Brasil; Remote; BRL 196,000 - 224,000; Full time

Job summary

Weekday AI is seeking a Pod Lead – Scientific Computing / Research Engineer Expert in Earth Sciences to guide terminal-based science tasks for an AI training initiative. You will oversee task development, maintain quality standards, and ensure simulations reflect real-world research challenges in climate science and related fields.

The ideal candidate has advanced research experience in Earth Sciences, strong programming skills, and Linux/terminal proficiency.

Qualifications

• Minimum 1 year of relevant experience.
• Recent graduate or current student.
• Strong fluency in U.S. English (en-US).
• Gemini App account with 18+ months history.
• At least 10 relevant educational conversations.
• Ability to export a JSON conversation history.

Responsibilities

• Review and analyze educational content, research questions, datasets, and academic scenarios.
• Verify information with credible online sources.
• Summarize information into clear, structured explanations.
• Evaluate AI-generated answers for accuracy and clarity.
• Provide constructive feedback and explanations.

Skills

English proficiency

Research analysis

Independent work

Remote collaboration

Attention to detail

Critical thinking

Education

Bachelor’s degree in Engineering, Literature, Journalism, Communications, Arts, Statistics or related field

Tools

Excel

Google Sheets

Google Docs

Job description

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)

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.

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.