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Location: India; Brazil; Colombia 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 AI Annotation Team Lead to oversee annotation teams responsible for producing accurate, high-quality AI training data. In this role, you will manage daily workflows, guide annotators and Pod Leads, monitor productivity and quality metrics, and ensure timely delivery under tight deadlines, often within 24-hour turnaround windows. The ideal candidate has proven team leadership experience, strong operational and communication skills, and the ability to translate complex client guidelines into clear instructions while maintaining consistent quality and performance. Key Responsibilities Manage annotation batches from project launch through final delivery, ensuring deadlines and quality standards are met. Review client guidelines and translate them into clear, actionable instructions for annotators and Pod Leads. Lead and coordinate annotation teams, establish daily production targets, and maintain appropriate staffing and workload distribution. Monitor productivity, quality, turnaround times, and other operational performance metrics. Conduct coaching, retraining, and remediation to address performance gaps and recurring quality issues. Partner with QA and tooling teams to identify bottlenecks and improve annotation workflows and processes. Identify high-performing team members and support their development toward future leadership responsibilities. Track project progress, identify operational risks and blockers, and communicate updates to the Project Lead. Maintain consistent annotation quality and operational efficiency in a fast-paced environment with tight deadlines. Requirements 4–6 years of overall professional experience, including at least 2 years in a team leadership or supervisory role. Proven experience managing teams against productivity, quality, and delivery targets. Strong organizational, communication, problem-solving, and decision-making skills. Ability to interpret complex guidelines and convert them into clear instructions and workflows. Experience managing competing priorities, staffing needs, and time-sensitive deliverables. Strong attention to detail and commitment to maintaining high-quality output. Availability to work the specified schedule for the full 16-week project.

Location: Colombia; India; Brazil 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 a detail-oriented QA Review Team Lead to oversee quality assurance activities for AI training data and ensure annotated outputs are accurate, consistent, and delivered on time. In this role, you will lead QA reviewers, manage audit and review queues, assess annotation quality, identify recurring errors, and provide clear, actionable feedback to improve team performance. You will also train new reviewers, clarify guidelines for annotators, and escalate complex or recurring issues to the Senior QA Lead. The ideal candidate combines strong quality assurance skills with experience mentoring team members and applying detailed guidelines in a fast-paced environment. CONTRACT: Contractor assignment, 16 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Brazil, Colombia, India Key Responsibilities Lead QA reviewers and manage audit and review queues to ensure timely and accurate completion of assigned work. Spot-check annotated data and reviewer decisions to verify compliance with project guidelines and quality standards. Provide clear, actionable, and consistent feedback to reviewers and annotators. Conduct office hours and clarify annotation guidelines, review criteria, and quality expectations. Monitor quality scores, error trends, audit results, and reviewer performance. Train and onboard new reviewers on project guidelines, tools, and review procedures. Identify recurring errors, inconsistencies, and process gaps, and recommend corrective actions. Escalate persistent quality issues, unclear guidelines, and complex cases to the Senior QA Lead. Support continuous improvement of review processes and maintain consistent quality across the team. Requirements 3–5 years of overall professional experience, including at least 1 year of experience leading, mentoring, or supervising reviewers or team members. Strong attention to detail and the ability to apply complex guidelines consistently. Excellent written and verbal communication skills. Ability to provide constructive, actionable feedback and explain quality expectations clearly. Strong organizational skills and the ability to manage multiple review queues and competing deadlines. Ability to identify patterns in errors and support corrective actions. Availability to work the specified schedule for the full 16-week project.

Location: Baku, Azerbaijan; Ganja, Azerbaijan; Sumqayit, Azerbaijan; Mingachevir, Azerbaijan; Khirdalan, Azerbaijan Do you enjoy precise, detail-oriented work and have an eye for spatial accuracy? This role puts those skills to use on a project at the intersection of geospatial data and AI. As a Data Annotator on our project, you will support building digital 3D models of power grids and other critical infrastructure. These models help energy companies analyze network conditions, predict risks, and plan maintenance using AI and physics-based simulations. You will help reconstruct electrical distribution networks in 3D by combining LiDAR point cloud data, GIS maps, and drone imagery – contributing directly to the accuracy and reliability of these digital twins. What you’ll be doing: Reconstructing 3D power grid networks using point cloud (LiDAR) and map (GIS) data; Placing 3D objects (poles, lines, conductors) to match real-world physical layouts; Aligning original 2D map data with 3D models; Labeling high-resolution drone photos to identify grid components and detect structural defects (e.g., equipment damage or wear). Requirements: Strong spatial reasoning and the ability to easily navigate 3D environments; English B1 (ability to read instructions, watch training videos, and communicate with teammates); High attention to detail, problem-solving skills, and a willingness to learn from feedback; PC/laptop with an Intel i7-11800H (or equivalent/better CPU), dedicated GPU (NVIDIA T1200 or better; RTX 4060 recommended), and 16 GB RAM minimum (32 GB preferred). Will be a plus: Any basic understanding of power grids (poles, transformers, wires) or prior experience with LiDAR data; Background in GIS, Geodesy, Cartography, Land Management, Civil Engineering, or a related field; What we offer: Full-time schedule (9 hours/day, including a 1-hour paid lunch break), with a fixed shift of either 09:00-18:00 or 14:00-23:00 EEST; Fully remote work; Supportive management with no bureaucracy; Competitive compensation in USD; Opportunities for long-term professional growth. Who are we? Data is the most vital resource for next-generation spatial engineering and AI applications. Label Your Data has been providing high-quality, secure, and flexible data annotation services across various global industries since 2020. Grab your chance to join us on this innovative 3D digital twin project, and send us your CV in English highlighting your spatial and technical skills. Visit our website: https://labelyourdata.com/ *We celebrate diversity and are proud to be an equal opportunity employer.

Location: Kutaisi, Georgia; Batumi, Georgia; Rustavi, Georgia; Gori, Georgia; Poti, Georgia; Zugdidi, Georgia Do you enjoy precise, detail-oriented work and have an eye for spatial accuracy? This role puts those skills to use on a project at the intersection of geospatial data and AI. As a Data Annotator on our project, you will support building digital 3D models of power grids and other critical infrastructure. These models help energy companies analyze network conditions, predict risks, and plan maintenance using AI and physics-based simulations. You will help reconstruct electrical distribution networks in 3D by combining LiDAR point cloud data, GIS maps, and drone imagery – contributing directly to the accuracy and reliability of these digital twins. What you’ll be doing: Reconstructing 3D power grid networks using point cloud (LiDAR) and map (GIS) data; Placing 3D objects (poles, lines, conductors) to match real-world physical layouts; Aligning original 2D map data with 3D models; Labeling high-resolution drone photos to identify grid components and detect structural defects (e.g., equipment damage or wear). Requirements: Strong spatial reasoning and the ability to easily navigate 3D environments; English B1 (ability to read instructions, watch training videos, and communicate with teammates); High attention to detail, problem-solving skills, and a willingness to learn from feedback; PC/laptop with an Intel i7-11800H (or equivalent/better CPU), dedicated GPU (NVIDIA T1200 or better; RTX 4060 recommended), and 16 GB RAM minimum (32 GB preferred). Will be a plus: Any basic understanding of power grids (poles, transformers, wires) or prior experience with LiDAR data; Background in GIS, Geodesy, Cartography, Land Management, Civil Engineering, or a related field; What we offer: Full-time schedule (9 hours/day, including a 1-hour paid lunch break), with a fixed shift of either 09:00-18:00 or 14:00-23:00 EEST; Fully remote work; Supportive management with no bureaucracy; Competitive compensation in USD; Opportunities for long-term professional growth. Who are we? Data is the most vital resource for next-generation spatial engineering and AI applications. Label Your Data has been providing high-quality, secure, and flexible data annotation services across various global industries since 2020. Grab your chance to join us on this innovative 3D digital twin project, and send us your CV in English highlighting your spatial and technical skills. Visit our website: https://labelyourdata.com/ *We celebrate diversity and are proud to be an equal opportunity employer.

Location: Gyumri, Armenia; Vanadzor, Armenia; Abovyan, Armenia; Kapan, Armenia; Armavir, Armenia Do you enjoy precise, detail-oriented work and have an eye for spatial accuracy? This role puts those skills to use on a project at the intersection of geospatial data and AI. As a Data Annotator on our project, you will support building digital 3D models of power grids and other critical infrastructure. These models help energy companies analyze network conditions, predict risks, and plan maintenance using AI and physics-based simulations. You will help reconstruct electrical distribution networks in 3D by combining LiDAR point cloud data, GIS maps, and drone imagery – contributing directly to the accuracy and reliability of these digital twins. What you’ll be doing: Reconstructing 3D power grid networks using point cloud (LiDAR) and map (GIS) data; Placing 3D objects (poles, lines, conductors) to match real-world physical layouts; Aligning original 2D map data with 3D models; Labeling high-resolution drone photos to identify grid components and detect structural defects (e.g., equipment damage or wear). Requirements: Strong spatial reasoning and the ability to easily navigate 3D environments; English B1 (ability to read instructions, watch training videos, and communicate with teammates); High attention to detail, problem-solving skills, and a willingness to learn from feedback; PC/laptop with an Intel i7-11800H (or equivalent/better CPU), dedicated GPU (NVIDIA T1200 or better; RTX 4060 recommended), and 16 GB RAM minimum (32 GB preferred). Will be a plus: Any basic understanding of power grids (poles, transformers, wires) or prior experience with LiDAR data; Background in GIS, Geodesy, Cartography, Land Management, Civil Engineering, or a related field; What we offer: Full-time schedule (9 hours/day, including a 1-hour paid lunch break), with a fixed shift of either 09:00-18:00 or 14:00-23:00 EEST; Fully remote work; Supportive management with no bureaucracy; Competitive compensation in USD; Opportunities for long-term professional growth. Who are we? Data is the most vital resource for next-generation spatial engineering and AI applications. Label Your Data has been providing high-quality, secure, and flexible data annotation services across various global industries since 2020. Grab your chance to join us on this innovative 3D digital twin project, and send us your CV in English highlighting your spatial and technical skills. Visit our website: https://labelyourdata.com/ *We celebrate diversity and are proud to be an equal opportunity employer.

Location: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary We’re seeking highly motivated Data Quality Analysts with strong analytical skills and a keen eye for detail to join our Human Data Annotation team within the Science organisation. This is a hybrid quality reviewing and tooling role: - you'll spend the majority of your time reviewing and auditing Finance (any subdomain) annotations against rubrics to ensure data used for training and evaluating AI models meets the highest standards of quality and efficiency. - and the remainder building, maintaining, and troubleshooting annotation operations. You'll collaborate closely with the annotators, technical program manager, and science stakeholders, and contribute to refining the guidelines and processes that shape how our data is produced. Key Responsibilities - In collaboration with the technical team, review/audit annotations, clarify requirements, share insights, surface systemic issues, edge cases, and gaps in guidelines, to improve annotation processes and guidelines. - Generate and validate high-quality finance-oriented data annotations yourself when needed, based on guidelines and continuous feedback, for the development and evaluation of AI models - Build and maintain internal tools and automation that streamline annotation or review workflows such as visualization dashboards, batch configuration scripts, output management utilities, and similar - Troubleshoot campaign issues (e.g. tooling, guidelines) for annotators - Organise annotator training and coordinate feedback between annotators and reviewers. About you - A degree (minimum Masters level) in a Finance discipline. - At least 3 years of professional experience in the Financial domain. - Outstanding analytical and research skills - Some familiarity with programming languages, with the ability to read standard output formats such as .jsonl files. - Exercises great judgement with complex instructions, limited data, and/or multiple information sources and ability to surface edge cases, ambiguities, or gaps in guidelines accordingly. - Excellent communication, interpersonal, and organisational abilities - Adapts easily to dynamic environments and changing requirements - Appetite for operational work and high tolerance for repetitive tasks with a sustained focus and accuracy on detail-oriented, high-volume review work. - Professional proficiency in English, with strong writing and comprehension skills Nice to have - Familiarity with rubric-based evaluation concepts, inter-annotator agreement, or quality measurement for human-labeled data - Experience building an annotation team through interviews and training - Proficient in at least one programming language (e.g. Python) - Prior experience in data annotation for AI/ML, especially LLM training (SFT, RLHF, preference data), evals/benchmarks, or agentic data - Comfortable working in a Unix-like terminal and using git workflows (branches, merges, resolving conflicts)   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

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: Tiranë, Albania; Durrës, Albania; Elbasan, Albania; Shkodër, Albania; Vlorë, Albania; Korçë, Albania Do you enjoy precise, detail-oriented work and have an eye for spatial accuracy? This role puts those skills to use on a project at the intersection of geospatial data and AI. As a Data Annotator on our project, you will support building digital 3D models of power grids and other critical infrastructure. These models help energy companies analyze network conditions, predict risks, and plan maintenance using AI and physics-based simulations. You will help reconstruct electrical distribution networks in 3D by combining LiDAR point cloud data, GIS maps, and drone imagery – contributing directly to the accuracy and reliability of these digital twins. What you’ll be doing: Reconstructing 3D power grid networks using point cloud (LiDAR) and map (GIS) data; Placing 3D objects (poles, lines, conductors) to match real-world physical layouts; Aligning original 2D map data with 3D models; Labeling high-resolution drone photos to identify grid components and detect structural defects (e.g., equipment damage or wear). Requirements: Strong spatial reasoning and the ability to easily navigate 3D environments; English B2 (ability to read instructions, watch training videos, and communicate effectively); High attention to detail, problem-solving skills, and a willingness to learn from feedback; PC/laptop with an Intel i7-11800H (or equivalent/better CPU), dedicated GPU (NVIDIA T1200 or better; RTX 4060 recommended), and 16 GB RAM minimum (32 GB preferred). Will be a plus: Background in GIS, Geodesy, Cartography, Land Management, Civil Engineering, or a related field; Any basic understanding of power grids (poles, transformers, wires) or prior experience with LiDAR data. What we offer: Full-time schedule (9 hours/day, including a 1-hour paid lunch break), with a fixed shift of either 09:00-18:00 or 14:00-23:00 EEST; Fully remote work; Supportive management with no bureaucracy; Competitive compensation in USD; Opportunities for long-term professional growth. Who are we? Data is the most vital resource for next-generation spatial engineering and AI applications. Label Your Data has been providing high-quality, secure, and flexible data annotation services across various global industries since 2020. Grab your chance to join us on this innovative 3D digital twin project, and send us your CV in English highlighting your spatial and technical skills. Visit our website: https://labelyourdata.com/ *We celebrate diversity and are proud to be an equal opportunity employer.

Location: Tiranë, Albania; Durrës, Albania; Elbasan, Albania; Vlorë, Albania; Shkodër, Albania; Korçë, Albania Join Label Your Data as a Data Annotator working on a project focused on the annotation of construction drawings to train an AI model that automates the review of project documentation. You will help teach an AI system to recognize structural elements, spaces, and symbols on architectural blueprints. What you'll be doing: Annotating structural elements (walls, windows, doors, columns) and furniture on building floor plans using bounding boxes; Annotating architectural elements (walls, windows, rooms, outdoor spaces, and other zones) using polygons; Following detailed annotation guidelines and maintaining consistent labelling quality across all tasks; Using Roboflow, an online annotation platform, to complete all labelling work. Requirements: Practical understanding of construction drawings (plans, elevations, sections), or a strong willingness to learn; Attention to detail; English at least B1 (to be able to read instructions, and hold a basic conversation); Will be a plus: Completed or ongoing degree in architecture, civil engineering, or a related field; Prior experience in data annotation or segmentation tasks; Familiarity with bounding box and polygon annotation techniques. What we offer: Full-time schedule (business hours, weekdays); Fully remote work; Supportive management with no bureaucracy; Competitive compensation in USD; Opportunities for long-term professional growth. Who are we? Data is the most vital resource for next-generation spatial engineering and AI applications. Label Your Data has been providing high-quality, secure, and flexible data annotation services across various global industries since 2020. Grab your chance to join us on this innovative construction documentation project, and send us your CV in English highlighting your architectural and technical skills. Visit our website: https://labelyourdata.com/ *We celebrate diversity and are proud to be an equal opportunity employer.

Location: Gyumri, Armenia; Vanadzor, Armenia; Abovyan, Armenia; Kapan, Armenia; Armavir, Armenia Join Label Your Data as a Data Annotator working on a project focused on the annotation of construction drawings to train an AI model that automates the review of project documentation. You will help teach an AI system to recognize structural elements, spaces, and symbols on architectural blueprints. What you'll be doing: Annotating structural elements (walls, windows, doors, columns) and furniture on building floor plans using bounding boxes; Annotating architectural elements (walls, windows, rooms, outdoor spaces, and other zones) using polygons; Following detailed annotation guidelines and maintaining consistent labelling quality across all tasks; Using Roboflow, an online annotation platform, to complete all labelling work. Requirements: Practical understanding of construction drawings (plans, elevations, sections), or a strong willingness to learn; Attention to detail; English at least B1 (to be able to read instructions, and hold a basic conversation); Will be a plus: Completed or ongoing degree in architecture, civil engineering, or a related field; Prior experience in data annotation or segmentation tasks; Familiarity with bounding box and polygon annotation techniques. What we offer: Full-time schedule (business hours, weekdays); Fully remote work; Supportive management with no bureaucracy; Competitive compensation in USD; Opportunities for long-term professional growth. Who are we? Data is the most vital resource for next-generation spatial engineering and AI applications. Label Your Data has been providing high-quality, secure, and flexible data annotation services across various global industries since 2020. Grab your chance to join us on this innovative construction documentation project, and send us your CV in English highlighting your architectural and technical skills. Visit our website: https://labelyourdata.com/ *We celebrate diversity and are proud to be an equal opportunity employer.

Location: Kutaisi, Georgia; Batumi, Georgia; Rustavi, Georgia; Gori, Georgia; Poti, Georgia; Zugdidi, Georgia Join Label Your Data as a Data Annotator working on a project focused on the annotation of construction drawings to train an AI model that automates the review of project documentation. You will help teach an AI system to recognize structural elements, spaces, and symbols on architectural blueprints. What you'll be doing: Annotating structural elements (walls, windows, doors, columns) and furniture on building floor plans using bounding boxes; Annotating architectural elements (walls, windows, rooms, outdoor spaces, and other zones) using polygons; Following detailed annotation guidelines and maintaining consistent labelling quality across all tasks; Using Roboflow, an online annotation platform, to complete all labelling work. Requirements: Practical understanding of construction drawings (plans, elevations, sections), or a strong willingness to learn; Attention to detail; English at least B1 (to be able to read instructions, and hold a basic conversation); Will be a plus: Completed or ongoing degree in architecture, civil engineering, or a related field; Prior experience in data annotation or segmentation tasks; Familiarity with bounding box and polygon annotation techniques. What we offer: Full-time schedule (business hours, weekdays); Fully remote work; Supportive management with no bureaucracy; Competitive compensation in USD; Opportunities for long-term professional growth. Who are we? Data is the most vital resource for next-generation spatial engineering and AI applications. Label Your Data has been providing high-quality, secure, and flexible data annotation services across various global industries since 2020. Grab your chance to join us on this innovative construction documentation project, and send us your CV in English highlighting your architectural and technical skills. Visit our website: https://labelyourdata.com/ *We celebrate diversity and are proud to be an equal opportunity employer.

Location: Baku, Azerbaijan; Ganja, Azerbaijan; Sumqayit, Azerbaijan; Mingachevir, Azerbaijan; Khirdalan, Azerbaijan; Nakhchivan, Azerbaijan Join Label Your Data as a Data Annotator working on a project focused on the annotation of construction drawings to train an AI model that automates the review of project documentation. You will help teach an AI system to recognize structural elements, spaces, and symbols on architectural blueprints. What you'll be doing: Annotating structural elements (walls, windows, doors, columns) and furniture on building floor plans using bounding boxes; Annotating architectural elements (walls, windows, rooms, outdoor spaces, and other zones) using polygons; Following detailed annotation guidelines and maintaining consistent labelling quality across all tasks; Using Roboflow, an online annotation platform, to complete all labelling work. Requirements: Practical understanding of construction drawings (plans, elevations, sections), or a strong willingness to learn; Attention to detail; English at least B1 (to be able to read instructions, and hold a basic conversation); Will be a plus: Completed or ongoing degree in architecture, civil engineering, or a related field; Prior experience in data annotation or segmentation tasks; Familiarity with bounding box and polygon annotation techniques. What we offer: Full-time schedule (business hours, weekdays); Fully remote work; Supportive management with no bureaucracy; Competitive compensation in USD; Opportunities for long-term professional growth. Who are we? Data is the most vital resource for next-generation spatial engineering and AI applications. Label Your Data has been providing high-quality, secure, and flexible data annotation services across various global industries since 2020. Grab your chance to join us on this innovative construction documentation project, and send us your CV in English highlighting your architectural and technical skills. Visit our website: https://labelyourdata.com/ *We celebrate diversity and are proud to be an equal opportunity employer.

Location: Chișinău, Moldova; Bălți, Moldova; Cahul, Moldova; Comrat, Moldova; Orhei, Moldova Join Label Your Data as a Data Annotator working on a project focused on the annotation of construction drawings to train an AI model that automates the review of project documentation. You will help teach an AI system to recognize structural elements, spaces, and symbols on architectural blueprints. What you'll be doing: Annotating structural elements (walls, windows, doors, columns) and furniture on building floor plans using bounding boxes; Annotating architectural elements (walls, windows, rooms, outdoor spaces, and other zones) using polygons; Following detailed annotation guidelines and maintaining consistent labelling quality across all tasks; Using Roboflow, an online annotation platform, to complete all labelling work. Requirements: Practical understanding of construction drawings (plans, elevations, sections), or a strong willingness to learn; Attention to detail; English at least B1 (to be able to read instructions, and hold a basic conversation); Will be a plus: Completed or ongoing degree in architecture, civil engineering, or a related field; Prior experience in data annotation or segmentation tasks; Familiarity with bounding box and polygon annotation techniques. What we offer: Full-time schedule (business hours, weekdays); Fully remote work; Supportive management with no bureaucracy; Competitive compensation in USD; Opportunities for long-term professional growth. Who are we? Data is the most vital resource for next-generation spatial engineering and AI applications. Label Your Data has been providing high-quality, secure, and flexible data annotation services across various global industries since 2020. Grab your chance to join us on this innovative construction documentation project, and send us your CV in English highlighting your architectural and technical skills. Visit our website: https://labelyourdata.com/ *We celebrate diversity and are proud to be an equal opportunity employer.

Location: Chișinău, Moldova; Bălți, Moldova; Cahul, Moldova; Comrat, Moldova; Orhei, Moldova Do you enjoy precise, detail-oriented work and have an eye for spatial accuracy? This role puts those skills to use on a project at the intersection of geospatial data and AI. As a Data Annotator on our project, you will support building digital 3D models of power grids and other critical infrastructure. These models help energy companies analyze network conditions, predict risks, and plan maintenance using AI and physics-based simulations. You will help reconstruct electrical distribution networks in 3D by combining LiDAR point cloud data, GIS maps, and drone imagery – contributing directly to the accuracy and reliability of these digital twins. What you’ll be doing: Reconstructing 3D power grid networks using point cloud (LiDAR) and map (GIS) data; Placing 3D objects (poles, lines, conductors) to match real-world physical layouts; Aligning original 2D map data with 3D models; Labeling high-resolution drone photos to identify grid components and detect structural defects (e.g., equipment damage or wear). Requirements: Strong spatial reasoning and the ability to easily navigate 3D environments; English B1 (ability to read instructions, watch training videos, and communicate with teammates); High attention to detail, problem-solving skills, and a willingness to learn from feedback; PC/laptop with an Intel i7-11800H (or equivalent/better CPU), dedicated GPU (NVIDIA T1200 or better; RTX 4060 recommended), and 16 GB RAM minimum (32 GB preferred). Will be a plus: Any basic understanding of power grids (poles, transformers, wires) or prior experience with LiDAR data; Background in GIS, Geodesy, Cartography, Land Management, Civil Engineering, or a related field; What we offer: Full-time schedule (9 hours/day, including a 1-hour paid lunch break), with a fixed shift of either 09:00-18:00 or 14:00-23:00 EEST; Fully remote work; Supportive management with no bureaucracy; Competitive compensation in USD; Opportunities for long-term professional growth. Who are we? Data is the most vital resource for next-generation spatial engineering and AI applications. Label Your Data has been providing high-quality, secure, and flexible data annotation services across various global industries since 2020. Grab your chance to join us on this innovative 3D digital twin project, and send us your CV in English highlighting your spatial and technical skills. Visit our website: https://labelyourdata.com/ *We celebrate diversity and are proud to be an equal opportunity employer.

Location: Tuzla, Bosnia and Herzegovina; Zenica, Bosnia and Herzegovina; Mostar, Bosnia and Herzegovina; Sarajevo, Bosnia and Herzegovina; Travnik, Bosnia and Herzegovina Do you enjoy precise, detail-oriented work and have an eye for spatial accuracy? This role puts those skills to use on a project at the intersection of geospatial data and AI. As a Data Annotator on our project, you will support building digital 3D models of power grids and other critical infrastructure. These models help energy companies analyze network conditions, predict risks, and plan maintenance using AI and physics-based simulations. You will help reconstruct electrical distribution networks in 3D by combining LiDAR point cloud data, GIS maps, and drone imagery – contributing directly to the accuracy and reliability of these digital twins. What you’ll be doing: Reconstructing 3D power grid networks using point cloud (LiDAR) and map (GIS) data; Placing 3D objects (poles, lines, conductors) to match real-world physical layouts; Aligning original 2D map data with 3D models; Labeling high-resolution drone photos to identify grid components and detect structural defects (e.g., equipment damage or wear). Requirements: Strong spatial reasoning and the ability to easily navigate 3D environments; English B2 (ability to read instructions, watch training videos, and communicate effectively); High attention to detail, problem-solving skills, and a willingness to learn from feedback; PC/laptop with an Intel i7-11800H (or equivalent/better CPU), dedicated GPU (NVIDIA T1200 or better; RTX 4060 recommended), and 16 GB RAM minimum (32 GB preferred). Will be a plus: Background in GIS, Geodesy, Cartography, Land Management, Civil Engineering, or a related field; Any basic understanding of power grids (poles, transformers, wires) or prior experience with LiDAR data. What we offer: Full-time schedule (9 hours/day, including a 1-hour paid lunch break), with a fixed shift of either 09:00-18:00 or 14:00-23:00 EEST; Fully remote work; Supportive management with no bureaucracy; Competitive compensation in USD; Opportunities for long-term professional growth. Who are we? Data is the most vital resource for next-generation spatial engineering and AI applications. Label Your Data has been providing high-quality, secure, and flexible data annotation services across various global industries since 2020. Grab your chance to join us on this innovative 3D digital twin project, and send us your CV in English highlighting your spatial and technical skills. Visit our website: https://labelyourdata.com/ *We celebrate diversity and are proud to be an equal opportunity employer.

Location: Skopje, North Macedonia; Bitola, North Macedonia; Prilep, North Macedonia; Veles, North Macedonia; Kumanovo, North Macedonia; Štip, North Macedonia Do you enjoy precise, detail-oriented work and have an eye for spatial accuracy? This role puts those skills to use on a project at the intersection of geospatial data and AI. As a Data Annotator on our project, you will support building digital 3D models of power grids and other critical infrastructure. These models help energy companies analyze network conditions, predict risks, and plan maintenance using AI and physics-based simulations. You will help reconstruct electrical distribution networks in 3D by combining LiDAR point cloud data, GIS maps, and drone imagery – contributing directly to the accuracy and reliability of these digital twins. What you’ll be doing: Reconstructing 3D power grid networks using point cloud (LiDAR) and map (GIS) data; Placing 3D objects (poles, lines, conductors) to match real-world physical layouts; Aligning original 2D map data with 3D models; Labeling high-resolution drone photos to identify grid components and detect structural defects (e.g., equipment damage or wear). Requirements: Strong spatial reasoning and the ability to easily navigate 3D environments; English B2 (ability to read instructions, watch training videos, and communicate effectively); High attention to detail, problem-solving skills, and a willingness to learn from feedback; PC/laptop with an Intel i7-11800H (or equivalent/better CPU), dedicated GPU (NVIDIA T1200 or better; RTX 4060 recommended), and 16 GB RAM minimum (32 GB preferred). Will be a plus: Background in GIS, Geodesy, Cartography, Land Management, Civil Engineering, or a related field; Any basic understanding of power grids (poles, transformers, wires) or prior experience with LiDAR data. What we offer: Full-time schedule (9 hours/day, including a 1-hour paid lunch break), with a fixed shift of either 09:00-18:00 or 14:00-23:00 EEST; Fully remote work; Supportive management with no bureaucracy; Competitive compensation in USD; Opportunities for long-term professional growth. Who are we? Data is the most vital resource for next-generation spatial engineering and AI applications. Label Your Data has been providing high-quality, secure, and flexible data annotation services across various global industries since 2020. Grab your chance to join us on this innovative 3D digital twin project, and send us your CV in English highlighting your spatial and technical skills. Visit our website: https://labelyourdata.com/ *We celebrate diversity and are proud to be an equal opportunity employer.