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Location: India; Australia; Japan; Singapore; Philippines; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an accomplished Scientific Research Expert with deep expertise in computer science, computational physics, or related theoretical and mathematical disciplines to contribute to an advanced AI research project. In this role, you will work with frontier AI models and agents to investigate open research problems, evaluate theoretical and computational results, and establish rigorous standards for measuring scientific progress. You will help guide multi-step research workflows involving proofs, algorithms, numerical experiments, simulations, and high-performance computing, while documenting model limitations and identifying promising directions for further investigation. Prior AI industry experience is not required; exceptional research expertise and rigorous scientific judgment are the priorities. SENIORITY: Principal / Research Leader LANGUAGE: Excellent written English LOCATION: Remote — Worldwide Key Responsibilities Identify and formulate foundational open problems, theoretical bounds, and computational challenges where progress can be rigorously demonstrated. Guide AI models and agents through complex, multi-step research workflows involving mathematical proofs, algorithm development, numerical experiments, and high-performance simulations. Validate research results using proof verification, computational reproduction, formal methods, and other rigorous evaluation techniques. Assess the novelty, correctness, and scientific significance of research outputs against established findings and current literature. Prepare concise research memos documenting attempted solutions, partial progress, model limitations, and recurring reasoning failures. Recommend promising research directions, subfields, and open problems suitable for investigation using advanced AI models and computational tools. Apply critical judgment when reviewing technical work beyond your immediate research specialization. Help establish evaluation standards that distinguish genuine scientific progress from plausible but unsupported results. Requirements Approximately 7–10+ years of active research experience in computer science, mathematical physics, computational physics, or a closely related discipline. Strong record of scholarly contributions, including publications in leading conferences, journals, or other recognized research venues. Deep hands-on experience with computational research methods, such as numerical analysis, simulation, algorithm implementation, or high-performance computing. Demonstrated ability to evaluate technical claims rigorously, verify results, and identify gaps in mathematical or computational reasoning. Strong familiarity with the research literature and established results in your field. Excellent analytical, technical writing, and research communication skills. Ability to work independently, assess ambiguous problems, and communicate findings clearly.

Location: United States; Panama; Guatemala; Mexico; Costa Rica; Canada About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an accomplished Scientific Research Expert with deep expertise in computer science, computational physics, or related theoretical and mathematical disciplines to contribute to an advanced AI research project. In this role, you will work with frontier AI models and agents to investigate open research problems, evaluate theoretical and computational results, and establish rigorous standards for measuring scientific progress. You will help guide multi-step research workflows involving proofs, algorithms, numerical experiments, simulations, and high-performance computing, while documenting model limitations and identifying promising directions for further investigation. Prior AI industry experience is not required; exceptional research expertise and rigorous scientific judgment are the priorities. SENIORITY: Principal / Research Leader LANGUAGE: Excellent written English LOCATION: Remote — Worldwide Key Responsibilities Identify and formulate foundational open problems, theoretical bounds, and computational challenges where progress can be rigorously demonstrated. Guide AI models and agents through complex, multi-step research workflows involving mathematical proofs, algorithm development, numerical experiments, and high-performance simulations. Validate research results using proof verification, computational reproduction, formal methods, and other rigorous evaluation techniques. Assess the novelty, correctness, and scientific significance of research outputs against established findings and current literature. Prepare concise research memos documenting attempted solutions, partial progress, model limitations, and recurring reasoning failures. Recommend promising research directions, subfields, and open problems suitable for investigation using advanced AI models and computational tools. Apply critical judgment when reviewing technical work beyond your immediate research specialization. Help establish evaluation standards that distinguish genuine scientific progress from plausible but unsupported results. Requirements Approximately 7–10+ years of active research experience in computer science, mathematical physics, computational physics, or a closely related discipline. Strong record of scholarly contributions, including publications in leading conferences, journals, or other recognized research venues. Deep hands-on experience with computational research methods, such as numerical analysis, simulation, algorithm implementation, or high-performance computing. Demonstrated ability to evaluate technical claims rigorously, verify results, and identify gaps in mathematical or computational reasoning. Strong familiarity with the research literature and established results in your field. Excellent analytical, technical writing, and research communication skills. Ability to work independently, assess ambiguous problems, and communicate findings clearly.

Location: United States About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Personal Injury Law Specialist to contribute to a project focused on improving the legal reasoning, accuracy, and reliability of advanced AI systems. In this contractor role, you will analyze legal scenarios, assess liability, evaluate AI-generated legal analyses and documents, and identify errors or gaps in legal reasoning. You will provide clear, structured feedback to help improve AI-generated legal outputs. The ideal candidate has a strong foundation in U.S. law, excellent analytical skills, and experience in personal injury law or civil litigation. SENIORITY: Experienced Legal Professional LANGUAGE: Excellent written English LOCATION: Remote — United States only Key Responsibilities Analyze legal scenarios to identify key legal issues, assess liability, and apply sound legal judgment. Review AI-generated legal analyses, arguments, and documents for accuracy, completeness, and consistency. Identify legal errors, missing facts, unsupported conclusions, and weaknesses in legal reasoning. Provide clear, structured feedback and corrections to improve the accuracy and quality of AI-generated outputs. Evaluate legal arguments critically, applying relevant principles of U.S. law. Maintain high standards of accuracy, clarity, and attention to detail throughout the review process. Requirements J.D. degree from a U.S. law school. Active bar license in at least one U.S. state. More than 3 years of practicing law, preferably in personal injury law or civil litigation. Strong legal reasoning, issue-spotting, and legal document review skills. Excellent written English communication skills. Exceptional attention to detail and the ability to identify subtle legal errors and gaps in reasoning. Ability to provide clear, objective, and well-structured written feedback.

Location: United States About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Employment Law Specialist to contribute to a project focused on improving the legal reasoning, accuracy, and reliability of advanced AI systems. In this contractor role, you will analyze employment law scenarios, evaluate AI-generated legal analyses and documents, identify errors or gaps in legal reasoning, and provide structured expert feedback to improve AI-generated outputs. Candidates should have a strong foundation in U.S. law, excellent legal judgment, and meticulous document review skills. Experience in employment or labor law is preferred. SENIORITY: Experienced Legal Professional LANGUAGE: Excellent written English LOCATION: Remote — United States only Key Responsibilities Analyze employment law scenarios, identify relevant legal issues, assess potential risks, and apply sound legal judgment. Review AI-generated legal analyses, arguments, and documents for legal accuracy, completeness, and consistency. Identify legal errors, missing information, unsupported conclusions, and weaknesses in legal reasoning. Provide clear, structured feedback and corrections to improve the quality and reliability of AI-generated legal outputs. Apply strong issue-spotting and critical analysis skills when evaluating complex legal scenarios. Maintain high standards of accuracy, clarity, and attention to detail throughout the review process. Requirements J.D. degree from an accredited U.S. law school. Active bar license in at least one U.S. state or the District of Columbia. More than 3 years of substantive legal practice, preferably in employment law or labor law. Strong legal reasoning, issue-spotting, and legal document review skills. Excellent written English communication skills. High attention to detail and the ability to identify nuanced legal errors and gaps in reasoning. Ability to provide clear, objective, and well-structured written feedback.

Location: Bangladesh; Brazil; India; Colombia; Egypt; Ghana About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Mechanical or Aerospace Engineering Expertto lead a team of technical trainers developing realistic, terminal-based engineering tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for engineering accuracy and reproducibility, and ensure automated graders reliably assess technical outcomes. This role combines advanced engineering expertise, computational modeling, technical quality assurance, and team leadership to help evaluate and improve next-generation AI systems. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Lead and mentor a team of 5–10 technical trainers, ensuring consistent task quality, productivity, and timely delivery. Review engineering tasks end to end, including problem statements, geometry and mesh files, simulation inputs, material properties, reference solutions, and automated tests. Validate tasks involving finite-element analysis (FEA), computational fluid dynamics (CFD), thermodynamics, heat transfer, dynamics, robotics, flight simulation, propulsion, and orbital mechanics. Ensure tasks reflect realistic mechanical and aerospace engineering workflows and require meaningful, multi-step technical reasoning. Verify engineering correctness across units, equilibrium, conservation laws, boundary conditions, mesh convergence, solver tolerances, reference frames, and numerical stability. Validate computational environments, simulation tools, solvers, and dependencies to ensure reproducible results. Review automated graders to ensure they assess meaningful engineering outputs, including stresses, deflections, natural frequencies, aerodynamic coefficients, thermal performance, orbital parameters, and safety margins. Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and opportunities to bypass genuine engineering calculations or simulations. Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval. Onboard trainers, allocate work, monitor quality and throughput, resolve technical blockers, and maintain technical documentation and best practices. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Mechanical Engineering, Aerospace Engineering, or a closely related discipline. Strong programming skills in Python, C/C++, Fortran, Julia, or MATLAB/Octave. Proficiency in Linux and command-line environments. Hands-on expertise in at least one major area, such as FEA, CFD, dynamics, flight simulation, thermal modeling, astrodynamics, guidance, navigation and control (GNC), or propulsion modeling. Strong understanding of engineering simulation, numerical methods, computational modeling, and technical validation. Experience reviewing complex technical work, engineering simulations, computational models, or research outputs. Ability to assess engineering assumptions, numerical accuracy, solver convergence, and computational reliability. Strong analytical judgment and the ability to identify technical errors, edge cases, and flawed engineering assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for precise technical feedback and documentation.

Location: Pakistan; Indonesia; Kenya; Turkey; Nigeria; Vietnam About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Mechanical or Aerospace Engineering Expertto lead a team of technical trainers developing realistic, terminal-based engineering tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for engineering accuracy and reproducibility, and ensure automated graders reliably assess technical outcomes. This role combines advanced engineering expertise, computational modeling, technical quality assurance, and team leadership to help evaluate and improve next-generation AI systems. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Lead and mentor a team of 5–10 technical trainers, ensuring consistent task quality, productivity, and timely delivery. Review engineering tasks end to end, including problem statements, geometry and mesh files, simulation inputs, material properties, reference solutions, and automated tests. Validate tasks involving finite-element analysis (FEA), computational fluid dynamics (CFD), thermodynamics, heat transfer, dynamics, robotics, flight simulation, propulsion, and orbital mechanics. Ensure tasks reflect realistic mechanical and aerospace engineering workflows and require meaningful, multi-step technical reasoning. Verify engineering correctness across units, equilibrium, conservation laws, boundary conditions, mesh convergence, solver tolerances, reference frames, and numerical stability. Validate computational environments, simulation tools, solvers, and dependencies to ensure reproducible results. Review automated graders to ensure they assess meaningful engineering outputs, including stresses, deflections, natural frequencies, aerodynamic coefficients, thermal performance, orbital parameters, and safety margins. Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and opportunities to bypass genuine engineering calculations or simulations. Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval. Onboard trainers, allocate work, monitor quality and throughput, resolve technical blockers, and maintain technical documentation and best practices. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Mechanical Engineering, Aerospace Engineering, or a closely related discipline. Strong programming skills in Python, C/C++, Fortran, Julia, or MATLAB/Octave. Proficiency in Linux and command-line environments. Hands-on expertise in at least one major area, such as FEA, CFD, dynamics, flight simulation, thermal modeling, astrodynamics, guidance, navigation and control (GNC), or propulsion modeling. Strong understanding of engineering simulation, numerical methods, computational modeling, and technical validation. Experience reviewing complex technical work, engineering simulations, computational models, or research outputs. Ability to assess engineering assumptions, numerical accuracy, solver convergence, and computational reliability. Strong analytical judgment and the ability to identify technical errors, edge cases, and flawed engineering assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for precise technical feedback and documentation.

Location: Bangladesh; Brazil; Colombia; Egypt; Ghana; India About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Computer Science, Electrical Engineering, or Computer Engineering Expert to lead a team of technical trainers developing realistic, terminal-based tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for technical accuracy, reproducibility, and grading reliability, and ensure they reflect authentic software, computational, and electrical engineering workflows. This role combines advanced technical expertise, computational problem-solving, quality assurance, and team leadership to help evaluate and improve next-generation AI systems. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Lead and mentor a team of 5–10 technical trainers, ensuring consistent quality, productivity, and timely task delivery. Review technical tasks end to end, including problem statements, codebases, circuit netlists, hardware description languages (HDL), datasets, computational environments, reference solutions, and automated tests. Validate tasks involving high-performance computing (HPC), parallel computing, algorithms, distributed systems, compilers, operating systems, databases, machine learning systems, GPU computing, circuit design, signal processing, power systems, and embedded systems. Ensure tasks reflect realistic software engineering, research, and electrical engineering workflows requiring meaningful, multi-step technical reasoning. Verify technical correctness across algorithm complexity, numerical accuracy, memory management, concurrency, circuit laws, power balance, signal processing, timing constraints, and system stability. Validate compilers, simulation tools, software dependencies, computational environments, and build processes to ensure reproducible results. Identify unreliable tests caused by nondeterministic behavior, race conditions, hardware-dependent performance thresholds, or simulation convergence issues. Review automated graders to ensure they assess meaningful technical outputs, including functional correctness, performance, frequency response, waveforms, timing, efficiency, and system behavior. Identify technical inaccuracies, flawed assumptions, incorrect tolerances, and ways tasks could be bypassed without genuine computation or engineering analysis. Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval. Onboard trainers, allocate work, monitor quality and throughput, resolve technical blockers, and maintain technical documentation and best practices. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Computer Science, Electrical Engineering, Computer Engineering, or a closely related discipline. Strong programming skills in C/C++, Rust, Python, Julia, Fortran, MATLAB/Octave, or hardware description languages (HDL). Advanced proficiency in Linux and command-line environments. Hands-on expertise in at least one major area, such as parallel computing, systems programming, scientific software development, circuit simulation, signal processing, power systems, or digital hardware design. Strong understanding of algorithms, computational systems, numerical methods, software testing, or electrical engineering principles. Experience reviewing complex codebases, technical implementations, engineering simulations, or research outputs. Ability to evaluate algorithm correctness, computational performance, numerical accuracy, concurrency behavior, and technical reliability. Strong analytical judgment and the ability to identify technical errors, edge cases, race conditions, and flawed engineering assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for precise technical feedback and documentation.

Location: Turkey; Nigeria; Kenya; Pakistan; Indonesia; Vietnam About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Computer Science, Electrical Engineering, or Computer Engineering Expert to lead a team of technical trainers developing realistic, terminal-based tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for technical accuracy, reproducibility, and grading reliability, and ensure they reflect authentic software, computational, and electrical engineering workflows. This role combines advanced technical expertise, computational problem-solving, quality assurance, and team leadership to help evaluate and improve next-generation AI systems. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Lead and mentor a team of 5–10 technical trainers, ensuring consistent quality, productivity, and timely task delivery. Review technical tasks end to end, including problem statements, codebases, circuit netlists, hardware description languages (HDL), datasets, computational environments, reference solutions, and automated tests. Validate tasks involving high-performance computing (HPC), parallel computing, algorithms, distributed systems, compilers, operating systems, databases, machine learning systems, GPU computing, circuit design, signal processing, power systems, and embedded systems. Ensure tasks reflect realistic software engineering, research, and electrical engineering workflows requiring meaningful, multi-step technical reasoning. Verify technical correctness across algorithm complexity, numerical accuracy, memory management, concurrency, circuit laws, power balance, signal processing, timing constraints, and system stability. Validate compilers, simulation tools, software dependencies, computational environments, and build processes to ensure reproducible results. Identify unreliable tests caused by nondeterministic behavior, race conditions, hardware-dependent performance thresholds, or simulation convergence issues. Review automated graders to ensure they assess meaningful technical outputs, including functional correctness, performance, frequency response, waveforms, timing, efficiency, and system behavior. Identify technical inaccuracies, flawed assumptions, incorrect tolerances, and ways tasks could be bypassed without genuine computation or engineering analysis. Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval. Onboard trainers, allocate work, monitor quality and throughput, resolve technical blockers, and maintain technical documentation and best practices. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Computer Science, Electrical Engineering, Computer Engineering, or a closely related discipline. Strong programming skills in C/C++, Rust, Python, Julia, Fortran, MATLAB/Octave, or hardware description languages (HDL). Advanced proficiency in Linux and command-line environments. Hands-on expertise in at least one major area, such as parallel computing, systems programming, scientific software development, circuit simulation, signal processing, power systems, or digital hardware design. Strong understanding of algorithms, computational systems, numerical methods, software testing, or electrical engineering principles. Experience reviewing complex codebases, technical implementations, engineering simulations, or research outputs. Ability to evaluate algorithm correctness, computational performance, numerical accuracy, concurrency behavior, and technical reliability. Strong analytical judgment and the ability to identify technical errors, edge cases, race conditions, and flawed engineering assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for precise technical feedback and documentation.

Location: Bangladesh; Brazil; Colombia; Egypt; Ghana; India About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Chemical Engineering Expert to lead a team of technical trainers developing realistic, terminal-based engineering tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for technical accuracy, reproducibility, and grading reliability, and ensure that each task reflects authentic chemical engineering workflows. This role combines advanced chemical engineering knowledge, computational modeling, technical quality assurance, and team leadership to improve how AI systems solve complex engineering problems. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Lead, mentor, and coordinate a team of 5–10 technical trainers, ensuring consistent quality, productivity, and timely delivery. Review engineering tasks end to end, including problem statements, reaction kinetics, thermodynamic and property data, process flowsheets, computational environments, reference solutions, and automated tests. Validate tasks involving reaction engineering, thermodynamics, phase equilibria, transport phenomena, separation processes, process simulation, process control, optimization, combustion, and electrochemical engineering. Ensure tasks reflect realistic chemical engineering workflows and require meaningful, multi-step technical reasoning. Verify mass and energy balances, thermodynamic consistency, property data, unit handling, numerical accuracy, and solver convergence. Validate computational models, stiff ODE/DAE solvers, tolerances, initial conditions, dependencies, and simulation results for reproducibility. Review automated graders to ensure they assess meaningful engineering outputs, including conversion, yield, selectivity, purity, energy consumption, and process constraint satisfaction. Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and opportunities to bypass genuine engineering calculations. Provide actionable technical feedback, track revisions, and ensure issues are resolved before task approval. Onboard trainers, allocate assignments, monitor quality and throughput, resolve technical blockers, and maintain documentation and best practices. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Chemical Engineering. Strong programming skills in Python, Julia, C/C++, or MATLAB/Octave. Proficiency in Linux and command-line environments. Hands-on expertise in at least one major area, such as process modeling, reaction kinetics, thermodynamic modeling, process simulation, or optimization. Strong understanding of chemical engineering fundamentals, numerical methods, computational modeling, and technical validation. Experience reviewing complex technical work, chemical process simulations, computational models, or research outputs. Ability to evaluate mass and energy balances, thermodynamic assumptions, numerical accuracy, solver convergence, and computational reliability. Strong analytical judgment and the ability to identify technical errors, edge cases, and flawed engineering assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for precise technical feedback and documentation.

Location: Pakistan; Indonesia; Kenya; Nigeria; Turkey; Vietnam About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Chemical Engineering Expert to lead a team of technical trainers developing realistic, terminal-based engineering tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for technical accuracy, reproducibility, and grading reliability, and ensure that each task reflects authentic chemical engineering workflows. This role combines advanced chemical engineering knowledge, computational modeling, technical quality assurance, and team leadership to improve how AI systems solve complex engineering problems. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Lead, mentor, and coordinate a team of 5–10 technical trainers, ensuring consistent quality, productivity, and timely delivery. Review engineering tasks end to end, including problem statements, reaction kinetics, thermodynamic and property data, process flowsheets, computational environments, reference solutions, and automated tests. Validate tasks involving reaction engineering, thermodynamics, phase equilibria, transport phenomena, separation processes, process simulation, process control, optimization, combustion, and electrochemical engineering. Ensure tasks reflect realistic chemical engineering workflows and require meaningful, multi-step technical reasoning. Verify mass and energy balances, thermodynamic consistency, property data, unit handling, numerical accuracy, and solver convergence. Validate computational models, stiff ODE/DAE solvers, tolerances, initial conditions, dependencies, and simulation results for reproducibility. Review automated graders to ensure they assess meaningful engineering outputs, including conversion, yield, selectivity, purity, energy consumption, and process constraint satisfaction. Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and opportunities to bypass genuine engineering calculations. Provide actionable technical feedback, track revisions, and ensure issues are resolved before task approval. Onboard trainers, allocate assignments, monitor quality and throughput, resolve technical blockers, and maintain documentation and best practices. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Chemical Engineering. Strong programming skills in Python, Julia, C/C++, or MATLAB/Octave. Proficiency in Linux and command-line environments. Hands-on expertise in at least one major area, such as process modeling, reaction kinetics, thermodynamic modeling, process simulation, or optimization. Strong understanding of chemical engineering fundamentals, numerical methods, computational modeling, and technical validation. Experience reviewing complex technical work, chemical process simulations, computational models, or research outputs. Ability to evaluate mass and energy balances, thermodynamic assumptions, numerical accuracy, solver convergence, and computational reliability. Strong analytical judgment and the ability to identify technical errors, edge cases, and flawed engineering assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for precise technical feedback and documentation.

Location: Pakistan; Indonesia; Kenya; Nigeria; Turkey; Vietnam About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Civil or Structural Engineering Lead to oversee a team of technical trainers developing realistic, terminal-based engineering tasks for AI training and evaluation. You will review tasks for engineering accuracy, reproducibility, and automated grading reliability while mentoring a team of approximately 5–10 trainers. This role combines advanced engineering expertise, scientific computing, technical quality assurance, and team leadership to ensure tasks reflect authentic engineering workflows and require rigorous, multi-step problem-solving. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Review engineering tasks end to end, including problem statements, structural and geotechnical models, load cases, simulation data, computational environments, reference solutions, and automated tests. Validate tasks covering structural analysis, finite-element analysis (FEA), earthquake and wind engineering, structural dynamics, geotechnical modeling, hydraulics, hydrology, transportation, and infrastructure systems. Ensure tasks require meaningful, multi-step engineering reasoning and reflect real-world civil and structural engineering workflows. Verify technical correctness across units, equilibrium, boundary conditions, load combinations, design codes, numerical stability, convergence, and safety factors. Validate computational models, solvers, dependencies, and simulation outputs for accuracy and reproducibility. Review automated graders to ensure they assess meaningful engineering outputs, including forces, deflections, drifts, settlements, factors of safety, flow rates, and structural performance. Identify incorrect assumptions, technical errors, unsuitable tolerances, and opportunities to bypass genuine engineering analysis. Provide actionable technical feedback and track task revisions through completion. Mentor and support 5–10 trainers, allocate work, monitor quality and productivity, and resolve technical blockers. Establish and maintain quality standards, technical documentation, and best practices across task development. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Civil Engineering, Structural Engineering, Geotechnical Engineering, or a closely related discipline. Strong programming skills in Python, C/C++, Julia, Fortran, or MATLAB/Octave. Proficiency working in Linux and command-line environments. Hands-on expertise in at least one major area, such as structural analysis, FEA, earthquake engineering, geotechnical modeling, or hydraulic/hydrological modeling. Strong understanding of engineering principles, numerical methods, simulation workflows, and computational model validation. Working knowledge of relevant engineering design standards, such as ASCE 7, ACI, AISC, Eurocodes, or IS codes. Experience reviewing complex technical work, engineering simulations, research outputs, or computational models. Strong analytical judgment and the ability to identify engineering inaccuracies, edge cases, and flawed assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for technical feedback and documentation.

Location: Bangladesh; Brazil; Colombia; Egypt; Ghana; India About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Civil or Structural Engineering Lead to oversee a team of technical trainers developing realistic, terminal-based engineering tasks for AI training and evaluation. You will review tasks for engineering accuracy, reproducibility, and automated grading reliability while mentoring a team of approximately 5–10 trainers. This role combines advanced engineering expertise, scientific computing, technical quality assurance, and team leadership to ensure tasks reflect authentic engineering workflows and require rigorous, multi-step problem-solving. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Review engineering tasks end to end, including problem statements, structural and geotechnical models, load cases, simulation data, computational environments, reference solutions, and automated tests. Validate tasks covering structural analysis, finite-element analysis (FEA), earthquake and wind engineering, structural dynamics, geotechnical modeling, hydraulics, hydrology, transportation, and infrastructure systems. Ensure tasks require meaningful, multi-step engineering reasoning and reflect real-world civil and structural engineering workflows. Verify technical correctness across units, equilibrium, boundary conditions, load combinations, design codes, numerical stability, convergence, and safety factors. Validate computational models, solvers, dependencies, and simulation outputs for accuracy and reproducibility. Review automated graders to ensure they assess meaningful engineering outputs, including forces, deflections, drifts, settlements, factors of safety, flow rates, and structural performance. Identify incorrect assumptions, technical errors, unsuitable tolerances, and opportunities to bypass genuine engineering analysis. Provide actionable technical feedback and track task revisions through completion. Mentor and support 5–10 trainers, allocate work, monitor quality and productivity, and resolve technical blockers. Establish and maintain quality standards, technical documentation, and best practices across task development. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Civil Engineering, Structural Engineering, Geotechnical Engineering, or a closely related discipline. Strong programming skills in Python, C/C++, Julia, Fortran, or MATLAB/Octave. Proficiency working in Linux and command-line environments. Hands-on expertise in at least one major area, such as structural analysis, FEA, earthquake engineering, geotechnical modeling, or hydraulic/hydrological modeling. Strong understanding of engineering principles, numerical methods, simulation workflows, and computational model validation. Working knowledge of relevant engineering design standards, such as ASCE 7, ACI, AISC, Eurocodes, or IS codes. Experience reviewing complex technical work, engineering simulations, research outputs, or computational models. Strong analytical judgment and the ability to identify engineering inaccuracies, edge cases, and flawed assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for technical feedback and documentation.

Location: Brazil; Argentina; Mexico; Colombia; Peru; Chile About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are looking for detail-oriented Video Data Annotators to support the training and evaluation of next-generation AI systems. You will review short video and audio clips, label multimedia content, assess AI-generated descriptions, and evaluate content against established moderation guidelines. Your work will help improve AI accuracy, content understanding, and output quality. Prior AI experience is not required. Key Responsibilities Review and annotate short video and audio clips according to project-specific guidelines. Evaluate AI-generated descriptions for accuracy, relevance, and appropriateness. Assess multimedia content against established moderation standards and flag potentially inappropriate or uncertain material with clear explanations. Identify inaccuracies, ambiguities, and inconsistencies in AI-generated outputs. Provide concise written feedback to support improvements in AI performance and data quality. Maintain high levels of annotation accuracy and consistency across large volumes of submissions. Collaborate remotely with project managers and team members to clarify guidelines and improve workflows. Follow confidentiality, data protection, and responsible data-handling requirements. Requirements Strong written English skills and the ability to communicate findings clearly. Excellent attention to detail when reviewing visual and audio content. Ability to follow detailed instructions and apply evaluation criteria consistently. Strong analytical skills and sound judgment when identifying inaccuracies or ambiguous content. Ability to work independently in a remote environment and adapt to changing project requirements. Commitment to data confidentiality and ethical handling of sensitive information.

Location: Egypt; Nigeria; Romania; Pakistan; Bangladesh About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are looking for detail-oriented Video Data Annotators to support the training and evaluation of next-generation AI systems. You will review short video and audio clips, label multimedia content, assess AI-generated descriptions, and evaluate content against established moderation guidelines. Your work will help improve AI accuracy, content understanding, and output quality. Prior AI experience is not required. Key Responsibilities Review and annotate short video and audio clips according to project-specific guidelines. Evaluate AI-generated descriptions for accuracy, relevance, and appropriateness. Assess multimedia content against established moderation standards and flag potentially inappropriate or uncertain material with clear explanations. Identify inaccuracies, ambiguities, and inconsistencies in AI-generated outputs. Provide concise written feedback to support improvements in AI performance and data quality. Maintain high levels of annotation accuracy and consistency across large volumes of submissions. Collaborate remotely with project managers and team members to clarify guidelines and improve workflows. Follow confidentiality, data protection, and responsible data-handling requirements. Requirements Strong written English skills and the ability to communicate findings clearly. Excellent attention to detail when reviewing visual and audio content. Ability to follow detailed instructions and apply evaluation criteria consistently. Strong analytical skills and sound judgment when identifying inaccuracies or ambiguous content. Ability to work independently in a remote environment and adapt to changing project requirements. Commitment to data confidentiality and ethical handling of sensitive information.

Location: United States; Germany; France; Poland; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are looking for detail-oriented Video Data Annotators to support the training and evaluation of next-generation AI systems. You will review short video and audio clips, label multimedia content, assess AI-generated descriptions, and evaluate content against established moderation guidelines. Your work will help improve AI accuracy, content understanding, and output quality. Prior AI experience is not required. Key Responsibilities Review and annotate short video and audio clips according to project-specific guidelines. Evaluate AI-generated descriptions for accuracy, relevance, and appropriateness. Assess multimedia content against established moderation standards and flag potentially inappropriate or uncertain material with clear explanations. Identify inaccuracies, ambiguities, and inconsistencies in AI-generated outputs. Provide concise written feedback to support improvements in AI performance and data quality. Maintain high levels of annotation accuracy and consistency across large volumes of submissions. Collaborate remotely with project managers and team members to clarify guidelines and improve workflows. Follow confidentiality, data protection, and responsible data-handling requirements. Requirements Strong written English skills and the ability to communicate findings clearly. Excellent attention to detail when reviewing visual and audio content. Ability to follow detailed instructions and apply evaluation criteria consistently. Strong analytical skills and sound judgment when identifying inaccuracies or ambiguous content. Ability to work independently in a remote environment and adapt to changing project requirements. Commitment to data confidentiality and ethical handling of sensitive information.

Location: United States; Canada; United Kingdom; Australia; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are looking for Software Engineers to help train and evaluate next-generation AI models on real-world software engineering tasks. You will assess AI-generated code for correctness, quality, and design, create challenging programming problems with verified reference solutions, and evaluate model reasoning across architecture, debugging, and system design. This role is ideal for technically strong professionals who can identify engineering flaws and provide clear, actionable feedback to improve AI performance. SENIORITY: Mid-Senior LANGUAGE: Strong written English Key Responsibilities Evaluate AI-generated code for functional correctness, code quality, maintainability, and sound software design. Create challenging coding problems, verified reference solutions, and comprehensive test cases. Review AI reasoning on software architecture, debugging, algorithms, and system design. Identify logical errors, inefficient implementations, edge cases, and architectural weaknesses. Provide detailed technical feedback and explanations to help improve AI model performance. Apply consistent evaluation criteria to ensure accurate and reliable assessments. Requirements At least 3 years of overall professional experience in Data Science or Software Engineering. At least 1 year of professional experience at a leading technology, finance, or research company. A bachelor’s degree in Data Science, Software Engineering, Computer Science, or a related field from a university in the United States, Canada, Australia, New Zealand, or the United Kingdom. Strong programming and software engineering fundamentals. Ability to evaluate code correctness, identify bugs, and assess software design decisions. Strong analytical thinking and the ability to solve complex technical problems. Excellent written English and the ability to communicate technical feedback clearly.

Location: United States; Germany; France; Poland; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Pediatric Hospitalists to support the training and evaluation of next-generation AI systems focused on inpatient pediatric care and clinical documentation. You will review medical records, structured FHIR data, and clinical notes to verify clinical accuracy, completeness, and consistency. Your expertise will help identify documentation gaps, validate clinical claims, and assess age-appropriate details, including weight-based medication dosing, to improve AI model performance and clinical data quality. No prior AI experience is required. Key Responsibilities Review medical records, including FHIR data, structured clinical information, and narrative notes, for AI training and evaluation. Verify that clinical claims and extracted information are supported by the source medical record. Evaluate pediatric inpatient documentation, including History of Present Illness (HPI), Past Medical History (PMH), birth and developmental history, immunization status, assessments, and treatment plans. Identify missing, inaccurate, or inconsistent clinical details, including age-appropriate considerations and weight-based medication dosing. Apply established review guidelines and documentation standards consistently. Provide clear, evidence-based feedback to improve AI model performance and clinical data quality. Document findings accurately and communicate review outcomes to the project team. Requirements MD or DO degree. Board certification in Pediatrics, with Pediatric Hospital Medicine subspecialty certification where applicable. At least 5 years of hospitalist experience. Current or recent inpatient pediatric hospitalist experience within the past two years. Strong understanding of pediatric inpatient workflows, including admissions, daily progress notes, transitions of care, and discharge documentation. Ability to interpret clinical notes and structured medical record data. Strong clinical judgment, attention to detail, and ability to apply review guidelines consistently. Clear written communication skills and the ability to explain clinical findings accurately.

Location: Egypt; Nigeria; Pakistan; Romania; Bangladesh About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Pediatric Hospitalists to support the training and evaluation of next-generation AI systems focused on inpatient pediatric care and clinical documentation. You will review medical records, structured FHIR data, and clinical notes to verify clinical accuracy, completeness, and consistency. Your expertise will help identify documentation gaps, validate clinical claims, and assess age-appropriate details, including weight-based medication dosing, to improve AI model performance and clinical data quality. No prior AI experience is required. Key Responsibilities Review medical records, including FHIR data, structured clinical information, and narrative notes, for AI training and evaluation. Verify that clinical claims and extracted information are supported by the source medical record. Evaluate pediatric inpatient documentation, including History of Present Illness (HPI), Past Medical History (PMH), birth and developmental history, immunization status, assessments, and treatment plans. Identify missing, inaccurate, or inconsistent clinical details, including age-appropriate considerations and weight-based medication dosing. Apply established review guidelines and documentation standards consistently. Provide clear, evidence-based feedback to improve AI model performance and clinical data quality. Document findings accurately and communicate review outcomes to the project team. Requirements MD or DO degree. Board certification in Pediatrics, with Pediatric Hospital Medicine subspecialty certification where applicable. At least 5 years of hospitalist experience. Current or recent inpatient pediatric hospitalist experience within the past two years. Strong understanding of pediatric inpatient workflows, including admissions, daily progress notes, transitions of care, and discharge documentation. Ability to interpret clinical notes and structured medical record data. Strong clinical judgment, attention to detail, and ability to apply review guidelines consistently. Clear written communication skills and the ability to explain clinical findings accurately.