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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: 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.

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 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: United States; United Kingdom; Germany; France; Poland 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 Hospitalist Physicians to support the training and evaluation of next-generation AI systems focused on inpatient medicine and clinical documentation. You will review medical records, structured FHIR data, and clinical notes to verify the accuracy and consistency of clinical information. Your medical expertise will help identify documentation gaps, validate clinical claims against source records, and improve the quality of AI-generated outputs. No prior AI experience is required. Key Responsibilities Review medical records, including FHIR data, structured clinical information, and narrative clinical notes. Verify that clinical claims and extracted information are supported by the source medical record. Evaluate inpatient documentation, including History of Present Illness (HPI), Past Medical History (PMH), assessments, and treatment plans. Identify missing, inaccurate, contradictory, or inconsistent clinical information. 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 Internal Medicine, Pediatrics, or Hospital Medicine, as applicable to the candidate's specialty and credentials. Current or recent inpatient or hospitalist clinical experience within the past two years. Strong understanding of inpatient care, hospital workflows, and clinical documentation standards. Ability to interpret clinical notes and structured medical record data. Excellent attention to detail and the ability to apply review guidelines consistently. Strong written communication skills and the ability to explain clinical findings clearly.

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 seeking experienced Hospitalist Physicians to support the training and evaluation of next-generation AI systems focused on inpatient medicine and clinical documentation. You will review medical records, structured FHIR data, and clinical notes to verify the accuracy and consistency of clinical information. Your medical expertise will help identify documentation gaps, validate clinical claims against source records, and improve the quality of AI-generated outputs. No prior AI experience is required. Key Responsibilities Review medical records, including FHIR data, structured clinical information, and narrative clinical notes. Verify that clinical claims and extracted information are supported by the source medical record. Evaluate inpatient documentation, including History of Present Illness (HPI), Past Medical History (PMH), assessments, and treatment plans. Identify missing, inaccurate, contradictory, or inconsistent clinical information. 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 Internal Medicine, Pediatrics, or Hospital Medicine, as applicable to the candidate's specialty and credentials. Current or recent inpatient or hospitalist clinical experience within the past two years. Strong understanding of inpatient care, hospital workflows, and clinical documentation standards. Ability to interpret clinical notes and structured medical record data. Excellent attention to detail and the ability to apply review guidelines consistently. Strong written communication skills and the ability to explain clinical findings clearly.

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 seeking experienced Hospitalist Physicians to support the training and evaluation of next-generation AI systems focused on inpatient medicine and clinical documentation. You will review medical records, structured FHIR data, and clinical notes to verify the accuracy and consistency of clinical information. Your medical expertise will help identify documentation gaps, validate clinical claims against source records, and improve the quality of AI-generated outputs. No prior AI experience is required. Key Responsibilities Review medical records, including FHIR data, structured clinical information, and narrative clinical notes. Verify that clinical claims and extracted information are supported by the source medical record. Evaluate inpatient documentation, including History of Present Illness (HPI), Past Medical History (PMH), assessments, and treatment plans. Identify missing, inaccurate, contradictory, or inconsistent clinical information. 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 Internal Medicine, Pediatrics, or Hospital Medicine, as applicable to the candidate's specialty and credentials. Current or recent inpatient or hospitalist clinical experience within the past two years. Strong understanding of inpatient care, hospital workflows, and clinical documentation standards. Ability to interpret clinical notes and structured medical record data. Excellent attention to detail and the ability to apply review guidelines consistently. Strong written communication skills and the ability to explain clinical 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 Family Medicine Physicians to support the training and evaluation of next-generation AI systems using their primary care expertise. You will review medical records, assess AI-generated clinical content for accuracy and safety, and apply evidence-based medical judgment across preventive, acute, and chronic care. This role offers an opportunity to improve AI performance in real-world healthcare scenarios. Prior AI experience is not required. LOCATION:United States — Remote SENIORITY:Experienced Physician Key Responsibilities Review inpatient clinical documentation, including histories and physicals (H&Ps), progress notes, and discharge summaries. Assess documentation for clinical accuracy, completeness, and alignment with the patient encounter. Adjudicate ambiguous, conflicting, or inconsistent clinical information using sound medical judgment. Identify and categorize clinically significant errors, omissions, and discrepancies by severity. Apply structured review rubrics and quality criteria consistently across cases. Provide concise, well-reasoned written explanations supporting review decisions. Contribute to the improvement of documentation review guidelines and quality standards. Requirements Active MD degree. Based in the United States and appropriately licensed to practice medicine in the U.S. Hands-on clinical experience in family medicine or primary care settings. Broad knowledge of common acute and chronic conditions, preventive care, and patient management across different age groups. Strong understanding of evidence-based clinical guidelines and standards of care. Excellent written and verbal communication skills. Strong attention to detail and the ability to assess clinical information critically and consistently.

Location: Khon Kaen, Thailand As a Freelance Luxury Brand Evaluator, you will step into the world of luxury to discreetly assess customer experiences and provide critical feedback that helps brands refine their services, your insights will shape the future of luxury experiences. Flexibility - each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments. Frequent opportunities - perform several missions per month and collaborate with some of the most prestigious brands worldwide. What you will be doing: Choose your assignments - align your missions with your personal preferences and profile. Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home. Observe carefully - visit boutiques, check ambience, experience luxury automotive showrooms, purchase online, evaluate after-sales services, or overall customer experience. Provide honest feedback - use our platform to share your observations through questionnaires. About CXG At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants. Join us and enjoy the flexibility of working on the go with our mobile platform, CXG Live. On this platform, you can seamlessly manage missions, certifications, and feedback. Requirements Current customer of premium and luxury brands. Not currently under contract with any retail brands, to ensure impartiality. Punctual, organized, detail-oriented, and reliable. Observant and passionate about customer experience. No prior experience is required; we value honest feedback from genuine customers. Benefits This is a freelance , project-based position Flexible working hours

Location: Chanthaburi, Thailand As a Freelance Luxury Brand Evaluator, you will step into the world of luxury to discreetly assess customer experiences and provide critical feedback that helps brands refine their services, your insights will shape the future of luxury experiences. Flexibility - each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments. Frequent opportunities - perform several missions per month and collaborate with some of the most prestigious brands worldwide. What you will be doing: Choose your assignments - align your missions with your personal preferences and profile. Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home. Observe carefully - visit boutiques, check ambience, experience luxury automotive showrooms, purchase online, evaluate after-sales services, or overall customer experience. Provide honest feedback - use our platform to share your observations through questionnaires. About CXG At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants. Join us and enjoy the flexibility of working on the go with our mobile platform, CXG Live. On this platform, you can seamlessly manage missions, certifications, and feedback. Requirements Not currently under contract with any retail brands, to ensure impartiality. Punctual, organized, detail-oriented, and reliable. Observant and passionate about customer experience. No prior experience is required; we value honest feedback from genuine customers. Benefits This is a freelance , project-based position Flexible working hours

Location: Pattaya City, Thailand Turn your passion for luxury into a career opportunity! Explore the world of premium brands and make a lasting impact in fashion, beauty, jewelry, or automobiles. About the Role: As a luxury brand evaluator, you will step into the world of luxury to discreetly assess customer experiences, providing critical feedback that helps brands refine their services. Whether visiting boutiques, purchasing online, or returning a product, your voice shapes the future of luxury. Flexibility - each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments. Frequent opportunities - perform several missions per month and collaborate with some of the most prestigious brands worldwide. What you will be doing: Choose your assignments - align your missions with your personal preferences and profile. Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home. Observe carefully - check the ambiance, service quality, and overall customer experience. Provide honest feedback - use our platform to share your observations through questionnaires. About CXG At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants. Join us and enjoy the flexibility of working on the go with our mobile platform, CXG Live . On this platform, you can seamlessly manage missions, certifications, and feedback. Requirements Current customer of premium and luxury brands. Not currently under contract with any retail brands, to ensure impartiality. Punctual, organized, detail-oriented, and reliable. Observant and passionate about customer experience. No prior experience is required; we value honest feedback from genuine customers. Benefits This is a freelance , project-based position Compensation for Non-Purchase Evaluations: Earn a fee based on mission complexity. Compensation for Purchase-Based Evaluations: Reimbursement for approved items as stated in the mission brief.

Location: Bang Nak, Thailand Turn your passion for luxury into a career opportunity! Explore the world of premium brands and make a lasting impact in fashion, beauty, jewelry, or automobiles. About the Role: As a luxury brand evaluator, you will step into the world of luxury to discreetly assess customer experiences, providing critical feedback that helps brands refine their services. Whether visiting boutiques, purchasing online, or returning a product, your voice shapes the future of luxury. Flexibility - each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments. Frequent opportunities - perform several missions per month and collaborate with some of the most prestigious brands worldwide. What you will be doing: Choose your assignments - align your missions with your personal preferences and profile. Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home. Observe carefully - check the ambiance, service quality, and overall customer experience. Provide honest feedback - use our platform to share your observations through questionnaires. About CXG At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants. Join us and enjoy the flexibility of working on the go with our mobile platform, CXG Live . On this platform, you can seamlessly manage missions, certifications, and feedback. Requirements Current customer of premium and luxury brands. Not currently under contract with any retail brands, to ensure impartiality. Punctual, organized, detail-oriented, and reliable. Observant and passionate about customer experience. No prior experience is required; we value honest feedback from genuine customers. Benefits This is a freelance , project-based position Compensation for Non-Purchase Evaluations: Earn a fee based on mission complexity. Compensation for Purchase-Based Evaluations: Reimbursement for approved items as stated in the mission brief.

Location: United States; Canada; Mexico; United Kingdom About Us 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. Role Overview Our client is supporting the development of advanced AI systems through expert legal review, research, and evaluation. We are looking for experienced U.S. immigration attorneys with a strong background in complex immigration matters, ideally gained within a BigLaw or comparable large-firm environment . The role involves reviewing legal documents and scenarios, drafting and evaluating legal content, conducting research, and assessing technology-enabled legal workflows. No prior AI experience is required . CONTRACT: Short-term contractor assignment (1099) LOCATIONS: Remote USA NOTES: Active legal licensure and demonstrated expertise in U.S. immigration law are required. Responsibilities Review and analyze immigration law documents, case materials, and legal scenarios for accuracy and compliance. Draft, edit, and evaluate legal content such as memos, briefs, and case documentation. Conduct legal research using professional databases and research tools. Evaluate AI-generated legal outputs for accuracy, completeness, reasoning quality, and practical usefulness. Review technology-enabled immigration workflows using case management or document-review tools. Identify legal, procedural, or factual issues and provide clear corrective feedback. Apply practical judgment from complex immigration matters to improve legal evaluation quality. Collaborate with project teams to refine legal data and evaluation standards. Document findings and recommendations clearly and consistently. Requirements Review and analyze immigration law documents, case materials, and legal scenarios for accuracy and compliance. Draft, edit, and evaluate legal content such as memos, briefs, and case documentation. Conduct legal research using professional databases and research tools. Evaluate AI-generated legal outputs for accuracy, completeness, reasoning quality, and practical usefulness. Review technology-enabled immigration workflows using case management or document-review tools. Identify legal, procedural, or factual issues and provide clear corrective feedback. Apply practical judgment from complex immigration matters to improve legal evaluation quality. Collaborate with project teams to refine legal data and evaluation standards. Document findings and recommendations clearly and consistently.

Location: Calapan City, Philippines As a Luxury Brand Evaluator, you will step into the world of luxury to discreetly assess customer experiences and provide critical feedback that helps brands refine their services, your insights will shape the future of luxury experiences. Flexibility - each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments. Frequent opportunities - perform several missions per month and collaborate with some of the most prestigious brands worldwide. What you will be doing: Choose your assignments - align your missions with your personal preferences and profile. Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home. Observe carefully - visit boutiques, check ambience, experience luxury automotive showrooms, purchase online, evaluate after-sales services, or overall customer experience. Provide honest feedback - use our platform to share your observations through questionnaires. About CXG At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants. Join us and enjoy the flexibility of working on the go with our mobile platform, CXG Live . On this platform, you can seamlessly manage missions, certifications, and feedback. Requirements Passionate about automobiles and improving customer service and retail environments. Enjoy interacting with people. Has a keen eye for discreetly observing and noting various aspects of your shopping experience. Willingness to adapt to varying assignment types and industries. Ability to provide unbiased, honest feedback without personal biases and be prompt in filling out online surveys Benefits This is a freelance , project-based position Flexible working hours

Требования: — Квалификация в области электронной или компьютерной инженерии.

Location: Tokyo, Japan; Barcelona, Spain; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Marathi speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Marathi speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Marathi, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Marathi and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.