Project Based Recruitment | Scientific Coding - Chemistry & Python | 40 Hours/Week | Remote
Project-Based Scientific Coding Opportunity for Chemistry Experts
A specialized project-based opportunity is available for professionals with a strong background in Chemistry and Python programming who want to contribute to the development of scientific AI training and evaluation datasets.
This role focuses on creating rigorous scientific coding problems that can be used to train and evaluate advanced AI models. It combines chemistry expertise, scientific computing, Python development, problem design, and AI evaluation.
The project requires a significant weekly commitment and is scheduled for an 8-week contract, making it suitable for qualified STEM professionals looking for a focused remote project rather than a traditional permanent position.
The selection process may move quickly, so qualified candidates interested in scientific AI, computational chemistry, or STEM model evaluation should consider registering as soon as possible.
For more opportunities, explore remote wfa jobs covering project-based and remote professional roles.
Job Information
Position: Scientific Coding – Chemistry and Python
Project Type: Project-Based Scientific AI Training
Engagement: Contractor / Freelancer
Duration: 8 weeks
Workload: 40 hours per week
Required Overlap: 4 hours with PST
Field: Chemistry, Scientific Computing, Python, AI Evaluation
Education: Master's or PhD in Chemistry or a related field
Eligible Locations: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam
Registration Link: REGISTRATION LINK HERE
Role Overview
The project involves developing high-quality scientific coding tasks designed to challenge and evaluate frontier AI models.
As a Scientific Coding Trainer specializing in Chemistry, you will use your academic and technical knowledge to create complex scientific problems, implement verified Python solutions, develop rigorous test cases, and review task quality.
The work requires more than simply writing code. Each task must be scientifically accurate, logically structured, deterministic, and sufficiently challenging to distinguish between correct and incorrect AI-generated solutions.
This makes the opportunity particularly relevant for chemistry researchers, computational scientists, scientific programmers, and STEM professionals who are interested in the intersection of AI and scientific research.
Key Responsibilities
The selected professional will be responsible for creating scientific coding problems consisting of one primary problem and at least three logically connected sub-problems.
The sub-problems should progressively build toward the overall solution while maintaining clear scientific reasoning and well-defined expected outputs.
Key responsibilities include:
Create complex Chemistry-based scientific coding problems.
Develop a main problem supported by at least three connected sub-problems.
Implement verified golden solutions using Python.
Create comprehensive unit tests for scientific solutions.
Design discriminative test cases that separate correct solutions from incorrect model outputs.
Perform quality-control validation using the project task platform.
Apply structural and quality checks to submitted tasks.
Review scientific correctness, determinism, and problem clarity.
Improve tasks based on quality-control feedback.
Work toward strong performance against Pass@K evaluation criteria.
Maintain a low rework rate and aim for first-submission approval.
Participate in review meetings, feedback sessions, and project standups during required overlap hours.
Required Qualifications
Applicants should have an advanced academic background in Chemistry or a closely related scientific discipline.
The expected qualifications include:
Master's or PhD in Chemistry or a similar field.
Strong Python programming capabilities.
Experience with scientific computing.
Ability to formulate rigorous and well-posed scientific problems.
Strong understanding of scientific constraints and expected outputs.
Excellent attention to detail.
Ability to create scientifically correct and deterministic tasks.
Experience with scientific research, AI data annotation, or scientific writing.
Familiarity with AI evaluation frameworks or coding benchmarks.
Experience with scientific Python libraries such as NumPy, SciPy, or SymPy.
Familiarity with domain-specific scientific tools is an advantage.
Published research, academic projects, or other substantial STEM experience is beneficial.
Why This Project Stands Out
This is not a conventional Chemistry role.
The project sits at the intersection of Chemistry, Python, scientific computing, and artificial intelligence. Professionals participating in the project will help create structured scientific challenges that can be used to measure how effectively advanced AI systems solve complex STEM problems.
For Chemistry professionals with strong programming skills, this can be an opportunity to apply academic expertise in a new environment while contributing to the development of AI systems capable of handling scientific reasoning and computational tasks.
Commitment and Contract
The project requires a 40-hour-per-week commitment over an estimated 8-week period.
Participants must also be available for approximately four hours of working-time overlap with PST to support project communication, reviews, feedback sessions, and team coordination.
The engagement is structured as a contractor or freelancer assignment and does not include traditional employee benefits such as medical or paid leave.
Because the project requires both scientific expertise and programming ability, candidates should ensure that their academic and technical background closely matches the requirements before registering.
Salary
Compensation: Project compensation is provided according to the applicable project terms.
Candidates should review the registration information carefully for the current compensation structure and project conditions before applying.
Registration
Registration Link: REGISTRATION LINK HERE
Qualified Chemistry professionals with Python and scientific computing experience are encouraged to register promptly. Project-based STEM opportunities can have limited openings and may move through screening and assessment stages quickly.
Who Should Consider Applying?
This project may be a strong fit for:
Chemistry researchers with Python experience.
Computational Chemistry professionals.
Chemistry PhD or Master's graduates.
Scientific programmers.
STEM researchers experienced in computational modeling.
Researchers interested in AI model evaluation.
Professionals with experience creating scientific datasets.
Academic researchers who enjoy designing complex technical problems.
STEM experts interested in project-based remote AI work.
The strongest candidates will be able to combine deep Chemistry knowledge with practical Python programming and rigorous scientific problem-solving.
Final Thoughts
The growing use of AI in scientific research is creating new opportunities for experts who understand both domain-specific knowledge and computational methods.
This Chemistry and Python project offers qualified STEM professionals the opportunity to work on scientific AI training tasks while applying skills that are often developed through years of academic research and technical work.
If your background includes advanced Chemistry knowledge, Python programming, and scientific computing, this 8-week project-based opportunity may be worth considering.
Because the project requires a substantial weekly commitment and the recruitment process may progress quickly, interested candidates should prepare their profile and complete the registration process as soon as possible.
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