Label Your Data

Location: Kyiv, Ukraine; Lviv, Ukraine; Ivano-Frankivsk, Ukraine; Lutsk, Ukraine; Odesa, Ukraine; Vinnytsia, Ukraine At Label Your Data , we are looking for a Legal Counsel who is eager to apply their knowledge of international law, already working with international clients in IT and ready to own the legal function of an AI data company. Sounds exciting? There’s more to come 😎 🔺 What you will be doing: Draft, review, and manage commercial agreements, including Master Service Agreements (MSAs), Non-Disclosure Agreements (NDAs), assignment agreements, and other client- and supplier-related contracts; Support contractual matters involving both Ukrainian and international counterparties; Conduct legal due diligence and assess legal risks related to suppliers, contractors, and business partnerships; Provide legal advice and support to internal stakeholders (HR, IT, Marketing, Finance, Operations) on contractual, commercial, and compliance-related matters; Manage debt recovery and accounts receivable legal matters, including advising on collection strategies, negotiating repayment arrangements, resolving payment disputes, and coordinating with internal stakeholders and external counsel to mitigate financial risk; Assist with maintaining and updating internal legal templates, policies, and contractual processes; Monitor legislative and regulatory changes relevant to the business and recommend necessary updates to internal policies and contractual frameworks; Collaborate with external legal advisors when needed on specialized or cross-border matters. 🔺 What We’re Looking For: Master’s degree in law; Fluency in English and Ukrainian, including legal drafting; Previous experience with international agreements and counterparties; 2+ years of professional legal experience working in IT, outsourcing, SaaS, or international business environments; Foundational knowledge of data protection and privacy laws, such as GDPR and related regulations; Proven hands-on experience negotiating, drafting, and reviewing contracts with clients and suppliers; Strong analytical, legal, and research skills with attention to detail; Goal-oriented, proactive, and comfortable working in a fast-paced, business-driven environment. 🔺 Why Label Your Data: Competitive monthly rate in USD; Business hours; Opportunity to work fully remotely; Greenhouse conditions for self-development; Inclusive international environment; Amazing team connectivity; Paid intensive training and trial period; Responsive management interested in your growth and long-lasting cooperation. If you’ve made it this far, there’s a strong chance this role resonates with your experience and ambitions — we’d be glad to connect and discuss it further.

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: 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.