Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous physics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy); - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for physicists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Physics or related fields, e.g. Engineering Physics, Thermodynamics, Statistical Mechanics, Optics and Acoustics, etc. - 3+ years of professional physics experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., CPhys, EurPhys, MInstP) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous physics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy); - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for physicists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Physics or related fields, e.g. Engineering Physics, Thermodynamics, Statistical Mechanics, Optics and Acoustics, etc. - 3+ years of professional physics experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., CPhys, EurPhys, MInstP) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous mathematics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy); - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for mathematicians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Mathematics or related fields, e.g. Algebra, Calculus, Number theory, etc. - 3+ years of professional mathematics experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Location: Remote (Northeast or mid-Atlantic region preferred) Job Overview This Scientist opportunity is for a flexible and self-motivated individual that is willing to learn and grow as part of a team while providing ecological expertise to projects within the Sediment and Risk Assessment (SRA) and Remediation (REM) service lines at EHS Support. As a Scientist, you will be joining a high-performance team of risk assessors, toxicologists, ecologists, scientists, and engineers that is focused on providing high-quality technical and strategic solutions to a variety of clients. Your primary responsibilities in the Scientist position will include assisting with development of ecological assessments, supporting and implementing field-based, environmental investigations, analyzing environmental data in support of investigation objectives, and engaging in technical writing to report findings for routine and complex scenarios under federal, state and international programs. Essential Responsibilities - Support development of ecological assessments under federal, state, and international regulatory programs (including CERCLA and RCRA programs) - Develop site-specific conceptual exposure models to characterize constituent fate and transport dynamics and identify ecological receptors and complete exposure pathways. - Obtaining, organizing, reviewing, and synthesizing environmental data in an organized and concise manner. - Analyzing environmental data in support of investigation objectives and defined data quality objectives (DQOs) using Microsoft Excel, geographic information systems (GIS), or other programmatic software (e.g., R, Python). - Engaging in technical writing to report findings and interpretations of data analysis to support investigation objectives. - Communicating (both written and verbal) the findings of data analyses and interpretation to both lay and technical audiences. - Supporting the preparation of high-quality technical deliverables, reports, presentations, etc. - Planning and implementing field-based environmental investigations to collect surface water, sediment, pore water, soil, biological tissue, and/or biological community samples. - Documenting field observations and recording necessary data to support multi-media field programs. - Ensuring field work is conducted in accordance with relevant investigation work plans and in accordance with prescribed DQOs and standard operating procedures (SOPs). Specific Experience and Skills - 0 to 2 years of experience in consulting, with a focus in ecological assessment. - Commitment to a behavior-based safety culture - Ability to support the implementation of field investigations of surface water, sediment, pore water, soil, and biological communities - Experience analyzing environmental data, including robust understanding of Microsoft Excel (experience with R or other statistical software is preferred) - Excellent oral and written communication skills - Strong organizational skills and attention to detail and data quality - Proficiency or understanding of global positioning system (GPS) units (e.g., Trimble) and other field monitoring equipment (e.g., multi-parameter water quality monitors, data logging instrumentation) - Ability to think critically and conceptually about environmental data and develop statistical approaches to support project objectives - Proficiency in standard office software packages (e.g., Microsoft Word, Excel, Access, and PowerPoint) and statistical software packages (e.g., ProUCL, R) - Familiarity with geographic information systems (GIS) and software packages (e.g., ArcGIS) - An understanding of regulations and guidance for remedial investigations and risk assessment under state and federal programs (e.g., RCRA, CERCLA, Voluntary) - Ability to develop and maintain positive relationships with clients and co-workers Education and Licenses - Master’s in biology, chemistry, geochemistry, ecology, environmental science, or a related field. Benefits - Generous Vacation Policy - Health Benefits (medical, dental, vision) - 401k w/matching options - Short- & Long-Term Disability - Life Insurance - Sick Time - Bonus Opportunities Our Principles - Strive for excellence, always - Be open, honest, and direct - Assume good intentions - Trust coworkers, leadership, and clients - Listen to learn - Be accountable for our work - Foster teamwork - Demonstrate integrity - Take pride in one’s work - Live your personal values - Provide a safe and health work environment that promotes wellness - Have fun! EHS Support is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.