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Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid. Project time expectations: 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. Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.
Materials Engineer & Python Expert - Freelance AI Trainer
Location
Colombia
Posted
11 days ago
Salary
$17 / hour
Seniority
Mid Level
Job Description
Materials Engineer & Python Expert - Freelance AI Trainer
Mindrift
Role Description 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: - You design computational material science problems to challenge a frontier AI model. - The problem must have an answer verifiable by code and require a specialized tool like ObsPy, instaseis, pyrocko, MITgcm, flopy/MODFLOW, or others. - Each problem runs inside a sealed Linux container with the tool pre-installed and a programmatic judge that grades the model's answer. As an expert author, you: - Pick an anchor tool and design a problem that hinges on its waveform-processing kernels, geophysical inversion routines, sub-surface flow solvers, or community-validated data pipelines. - Write a Python reference solution, supply input files and model or domain definitions where needed. - Decide the numerical answer and how close the model needs to get — with a domain-appropriate tolerance — to count as right. - Test the problem against the model in batches of parallel attempts, tuning the problem difficulty until the agent only succeeds in a small number of attempts. - Once you're happy with the task, and it scores within range, the task goes to a senior reviewer in your subfield for feedback to ensure task quality is high. Calibration requires patience: - You're tuning the problem against batches of parallel runs of the agent, aiming for a pass rate in the 10–30% band. - Reaching that means rewriting waveform scenarios, tightening inversion parameters and solver tolerances, and watching how the agents act. - You’ll learn how these agents cut corners, where a simulation stalls, and where a flow or inversion model converges. - This time compounds in two directions: deeper command of the anchor tool itself and hands-on working intuition for how a frontier model navigates complex seismic, oceanographic, and sub-surface flow problems. Qualifications - Degree in Material Science or related field. - 2+ years of research, applied, or teaching experience. - Python proficiency for writing reference solutions. - Fluency with — or strong willingness to independently learn — at least one scriptable package: ObsPy, instaseis, pyrocko, MITgcm, xmitgcm, flopy / MODFLOW, or GeoPandas. - Ability to design problems that genuinely require a specialized solver. - Strong written English (C1+). - No prior experience with the listed tools? You're still welcome to apply — as long as you're ready to get up to speed on your own and hit the ground running. Requirements - This opportunity is a good fit for material scientists & engineers with experience in Python open to part-time, non-permanent projects. Benefits - 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 $17 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.
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Materials Engineer & Python Expert
MindriftApply → Pass qualification(s) → Join a project → Complete tasks → Get paid. Project time expectations: 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. Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.
Role Description 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: - You design computational material science problems to challenge a frontier AI model. - The problem must have an answer verifiable by code, requiring a specialized tool like ObsPy, instaseis, pyrocko, MITgcm, flopy/MODFLOW, or others. - Each problem runs inside a sealed Linux container with the tool pre-installed and a programmatic judge that grades the model's answer. As an expert author, you: - Pick an anchor tool and design a problem that hinges on its waveform-processing kernels, geophysical inversion routines, sub-surface flow solvers, or community-validated data pipelines. - Write a Python reference solution, supply input files and model or domain definitions where needed. - Decide the numerical answer and how close the model needs to get — with a domain-appropriate tolerance — to count as right. - Test the problem against the model in batches of parallel attempts, tuning the problem difficulty until the agent only succeeds in a small number of attempts. - Once you're happy with the task, and it scores within range, the task goes to a senior reviewer in your subfield for feedback to ensure task quality is high. Calibration requires patience: - Tuning the problem against batches of parallel runs of the agent, aiming for a pass rate in the 10–30% band. - Reaching that means rewriting waveform scenarios, tightening inversion parameters and solver tolerances, and observing agent behavior. - You will gain deeper command of the anchor tool and a hands-on working intuition for how a frontier model navigates complex seismic, oceanographic, and sub-surface flow problems. Qualifications - Degree in Material Science or related field. - 2+ years of research, applied, or teaching experience. - Python proficiency for writing reference solutions. - Fluency with — or strong willingness to independently learn — at least one scriptable package: ObsPy, instaseis, pyrocko, MITgcm, xmitgcm, flopy / MODFLOW, or GeoPandas. - Ability to design problems that genuinely require a specialized solver. - Strong written English (C1+). - No prior experience with the listed tools? You're still welcome to apply — as long as you're ready to get up to speed on your own and hit the ground running. Requirements - This opportunity is a good fit for material scientists & engineers with experience in Python, open to part-time, non-permanent projects. Benefits - Compensation: Contributors can earn up to $45 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. Company Description 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.
MEP Engineer
Better-ProsBetterPros unlocks human potential by offering competitive compensation, flexibility, constant learning and growth, and the opportunity to work anywhere you want with one of our +130 active clients across the United States.
Role Description Do you have a burning desire for disruption? Are you fully committed and self-driven, pushing the boundaries of innovation? Do you possess an analytical mindset and meticulous attention to detail that sets you apart? We want you! We are seeking professionals who embody our disruptive spirit and can help our US-based redefine the future of engineering. What you will do: - Calculate, design, and model mechanical and electrical installations. - Draft technical reports, measurements, and budgets. - Implement BIM in MEP systems. Qualifications - A bachelor’s degree in Electrical/Mechanical Engineering or similar. - +3 years of experience in planning and designing in the areas of mechanical, electrical, and plumbing (MEP) systems. - Proficiency in AutoCAD and Revit. - Strong communication skills. - Advanced level of English. Requirements - Experience working for the US is a great plus. Benefits - Competitive compensation. - Flexibility. - Constant learning and growth. - Opportunity to work anywhere with one of our +130 active clients across the United States.
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Senior Engineer
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Title: Sr Engineer, Telephony Location: Remote - Nationwide time type; Full time job requisition id: R042191 Job Description: Thank you for considering a career at Ensemble! Ensemble is a leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country. Ensemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference! 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It is our policy not to discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender, gender identity, religion, national origin, age, disability, military or veteran status, genetic information or any other basis protected by applicable federal, state, or local laws. Ensemble also prohibits harassment of applicants or employees based on any of these protected categories. Ensemble provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. If you require accommodation in the application process, please contact TA@ensemblehp.com. This posting addresses state specific requirements to provide pay transparency. Compensation decisions consider many job-related factors, including but not limited to geographic location; knowledge; skills; relevant experience; education; licensure; internal equity; time in position. 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