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information processing clerk remote

PulseMediaNL (LATAM REGION)

<div>
 Position Overview
 
 
 We are seeking a detail-oriented and reliable Information Processing Clerk to support remote administrative and data management operations. This role is ideal for individuals who excel at organizing information, maintaining accuracy, and handling structured tasks with consistency and efficiency.
 
 
 In this position, you will be responsible for reviewing, entering, verifying, and organizing information across internal systems while ensuring compliance with established documentation standards. Your ability to follow procedures carefully and maintain data integrity will directly contribute to operational accuracy and reporting reliability.
 
 
 This opportunity is well suited for professionals who are methodical, dependable, and comfortable working independently in a remote environment.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Process and enter information accurately into internal databases and systems
 </li>
 <li>
 Review documentation for completeness, consistency, and formatting standards
 </li>
 <li>
 Verify data accuracy and correct discrepancies when identified
 </li>
 <li>
 Organize and maintain digital files and structured records
 </li>
 <li>
 Assist in compiling reports and summaries from processed information
 </li>
 <li>
 Flag incomplete or unclear entries for follow-up
 </li>
 <li>
 Follow confidentiality and data handling protocols at all times
 </li>
 <li>
 Meet established productivity and quality benchmarks
 
 
 </li>
 </ul>
 Your contributions will help ensure information remains accurate, accessible, and properly maintained.
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Previous experience in data entry, clerical work, or administrative support preferred
 </li>
 <li>
 Strong typing accuracy and attention to detail
 </li>
 <li>
 Proficiency in Microsoft Excel, Google Sheets, or similar tools
 </li>
 <li>
 Ability to follow structured written instructions carefully
 </li>
 <li>
 Strong organizational and time management skills
 </li>
 <li>
 Comfortable working independently in a fully remote setting
 </li>
 <li>
 Reliable internet connection and appropriate home workspace
 
 
 </li>
 </ul>
 Work Structure
 
 
 <ul>
 <li>
 Fully remote position
 </li>
 <li>
 Flexible scheduling aligned with operational needs
 </li>
 <li>
 Clearly defined quality and performance standards
 </li>
 <li>
 Ongoing documentation and procedural guidance provided
 
 
 </li>
 </ul>
 Engagement Terms
 
 
 <ul>
 <li>
 Independent contractor or employee classification depending on placement
 </li>
 <li>
 Weekly payments through supported platforms
 </li>
 <li>
 Performance-based incentives may be available
 </li>
 <li>
 Responsibilities may evolve based on business requirements
 
 
 </li>
 </ul>
 Key Skills
 
 
 Information Processing, Data Entry, Administrative Support, Records Management, Database Management, Microsoft Excel, Google Sheets, Data Verification, Document Processing, Digital Filing, Information Management, Typing Accuracy, Quality Control, Attention to Detail, Time Management, Workflow Compliance, Confidentiality Standards, Remote Work, Process Documentation
 
 
 Application Process
 
 
 <ul>
 <li>
 Submit your updated resume highlighting relevant clerical or data processing experience
 </li>
 <li>
 Qualified candidates can expect follow-up communication within a few business days
 
 
 </li>
 </ul>
 We are looking for dependable professionals who are committed to maintaining high standards of accuracy and supporting efficient remote information management operations.
</div>

Information Processing Clerk (Remote)

IIQAF

<div>Company: IIQAF Group 
Location: Abu Dhabi, United Arab Emirates 
Industry: Hospital / Healthcare 
Salary: AED 5,500 &ndash; AED 6,500 per month 
Job Type: Full-Time
<h2 class="jobSectionHeader">Job Overview</h2>
IIQAF Group is hiring a detail-oriented and accurate Data Entry Operator in Abu Dhabi to support our hospital and healthcare administration team. The ideal candidate will have experience in medical data entry, patient records management, healthcare documentation, and administrative support.
This role is ideal for candidates searching for Data Entry jobs in Abu Dhabi, Hospital Data Entry Clerk, Healthcare Data Entry UAE, or Medical Records Assistant positions.
<h2 class="jobSectionHeader">Key Responsibilities</h2>
<ul><li>Enter and update patient data, medical records, and hospital information systems</li><li>
Maintain accurate electronic and physical records</li><li>
Verify data for accuracy and completeness</li><li>
Assist with medical documentation and administrative filing</li><li>
Update databases and ensure information confidentiality</li><li>
Support billing, claims, and administrative departments when required</li><li>
Generate reports from hospital management systems</li><li>
Ensure compliance with healthcare data protection policies</li></ul>
<h2 class="jobSectionHeader">Requirements</h2>
<ul><li>High school diploma or diploma in Business Administration or related field</li><li>
Strong typing speed and accuracy</li><li>
Proficiency in Microsoft Office (Excel, Word)</li><li>
Experience with hospital management systems preferred</li><li>
Good attention to detail and organizational skills</li><li>
Ability to handle confidential information</li><li>
Immediate joiners preferred</li></ul></div>

Data Entry Operator

PulseMediaNL (APAC REGION)

<div>
 Position Overview
 
 
 We are seeking a detail-oriented and highly organized Data Entry Administrative Specialist to support remote administrative and data management operations. This role is ideal for individuals who excel in structured environments, value accuracy, and are comfortable managing repetitive tasks with consistency and precision.
 
 
 In this position, you will be responsible for entering, updating, and verifying information across internal systems while ensuring data integrity and compliance with established procedures. Your ability to maintain organization, follow documented workflows, and meet productivity standards will directly contribute to operational efficiency.
 
 
 This opportunity is well suited for professionals who are dependable, focused, and capable of working independently in a remote setting.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Accurately enter and update data within company databases and administrative systems
 </li>
 <li>
 Review records for completeness, formatting consistency, and accuracy
 </li>
 <li>
 Correct discrepancies and flag incomplete information for follow-up
 </li>
 <li>
 Maintain organized digital files and structured documentation
 </li>
 <li>
 Support reporting by ensuring clean and reliable datasets
 </li>
 <li>
 Assist with administrative coordination tasks as needed
 </li>
 <li>
 Follow internal data management and confidentiality standards
 </li>
 <li>
 Meet established productivity and accuracy benchmarks
 
 
 </li>
 </ul>
 Your contributions will help ensure operational records remain reliable, organized, and accessible.
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Previous experience in data entry, administrative support, or operations preferred
 </li>
 <li>
 Strong typing accuracy and attention to detail
 </li>
 <li>
 Proficiency in Microsoft Excel, Google Sheets, or similar tools
 </li>
 <li>
 Ability to follow structured written instructions carefully
 </li>
 <li>
 Strong organizational and time management skills
 </li>
 <li>
 Comfortable working independently in a remote environment
 </li>
 <li>
 Reliable internet connection and professional workspace
 
 
 </li>
 </ul>
 Work Structure
 
 
 <ul>
 <li>
 Fully remote position
 </li>
 <li>
 Flexible scheduling based on operational needs
 </li>
 <li>
 Clearly defined quality and productivity standards
 </li>
 <li>
 Ongoing documentation and process guidance provided
 
 
 </li>
 </ul>
 Engagement Terms
 
 
 <ul>
 <li>
 Independent contractor or employee classification depending on placement
 </li>
 <li>
 Weekly payments through supported platforms
 </li>
 <li>
 Performance-based incentives may be available
 </li>
 <li>
 Responsibilities may evolve based on business requirements
 
 
 </li>
 </ul>
 Key Skills
 
 
 Data Entry, Administrative Support, Records Management, Database Management, Microsoft Excel, Google Sheets, Data Validation, Data Cleaning, Document Processing, CRM Systems, Digital Filing, Information Management, Typing Accuracy, Quality Control, Attention to Detail, Time Management, Workflow Compliance, Confidentiality Standards, Remote Work, Process Documentation
 
 
 Application Process
 
 
 <ul>
 <li>
 Submit your updated resume highlighting relevant data entry or administrative experience
 </li>
 <li>
 Qualified candidates can expect follow-up communication within a few business days
 
 
 </li>
 </ul>
 We are looking for dependable professionals who are committed to maintaining high standards of accuracy and supporting efficient remote administrative operations.
</div>

Data Entry Adminstrative Specialist (Remote)

NMC Health plc

<div>To assist Physician in clinic including accessing, adding, and modifying the patient medical records under the physician&rsquo;s supervision.
Request the necessary investigation for the patient.
To assist the provision of high-quality care to patients and their families under the direction and supervision of the Physician/ Registered Nurse/ Midwifes.
Demonstrate a range of skills to meet the needs of patients whilst promoting dignity, privacy, and respect. 
 
To provide a range of healthcare and non-nursing duties, ensuring efficient and effective service to the ward/department at all times.
To assist with administration and non-nursing duties.
To perform basic care under the direction of Physician/ Registered Nurse/ Midwife.
To assist all patients who are able, towards independence and activity under the direction of the physician/Registered Nurse/Midwife.
To provide patient comfort by utilizing resources and materials; transporting patients; answering patients call and requests; reporting observation of the patient to the team leader.
To assist patient transfer to other departments.
To accompany patients who are ready for discharge.
To transport equipment and patient records between departments.
To support the registered nurse staff and ward clerk in the clerical,
 
administrative and receptionist duties in the ward.
To assist in maintenance of stocks and non-medical supplies.
To develop and utilize good communication skills and receive and
 
pass on telephone message.
To ensure appropriate utilization of resources effectively and efficiently.
To provide positive patient experience through the delivery of high-quality customer service.
Observe and maintain confidentiality of information data relating to patients, staff, service and the the organization.
To appropriately escalate identified concerns according to level of urgency.
To liaise with nursing colleagues and other professional standards, hospital policies and procedures, local requirements and JCI standards.
To be able to administer and seek advice on the appropriate measures in an emergency.
 
development.
To attend in service training, other training program and meetings as required.
To process clear understanding and commitment to NMC&rsquo; policy. Accepts and recognizes the legal limitations and ethical parameters of the role.
Demonstrate effective oral and written communications skills.
Demonstrate flexibility in meeting work demands and able to work as a team.
Maintains confidentiality at all times.
Be informed on health &amp; safety regulation affecting the unit in which they work.
Have full knowledge of fire precautions and regulations.
Be familiar with all types of Hospital codes and know how to telephone for emergency services.</div>
 <div><ul><li>To assist Physician in clinic including accessing, adding, and modifying the patient medical records under the physician&rsquo;s supervision.
</li><li>Request the necessary investigation for the patient.
</li><li>To assist the provision of high-quality care to patients and their families under the direction and supervision of the Physician/ Registered Nurse/ Midwives.
</li><li>Demonstrate a range of skills to meet the needs of patients whilst promoting dignity, privacy, and respect.
</li><li>To provide a range of healthcare and non-nursing duties, ensuring efficient and effective service to the ward/department at all times.
</li><li>To assist with administration and non-nursing duties.
</li><li>To perform basic care under the direction of Physician/ Registered Nurse/ Midwife.
</li><li>To assist all patients who are able, towards independence and activity under the direction of the Physician/ Registered Nurse/ Midwife.
</li><li>To provide patient comfort by utilizing resources and materials; transporting patients; answering patients' calls and requests; reporting observation of the patient to the team leader.
</li><li>To assist patient transfer to other departments.
</li><li>To accompany patients who are ready for discharge.
</li><li>To transport equipment and patient records between departments.
</li><li>To support the registered nurse staff and ward clerk in the clerical, administrative, and receptionist duties in the ward.
</li><li>To assist in maintenance of stocks and non-medical supplies.
</li><li>To develop and utilize good communication skills and receive and pass on telephone messages.
</li><li>To ensure appropriate utilization of resources effectively and efficiently.
</li><li>To provide positive patient experience through the delivery of high-quality customer service.
</li><li>Observe and maintain confidentiality of information data relating to patients, staff, service, and the organization.
</li><li>To appropriately escalate identified concerns according to level of urgency.
</li><li>To liaise with nursing colleagues and adhere to professional standards, hospital policies and procedures, local requirements, and JCI standards.
</li><li>To be able to administer and seek advice on the appropriate measures in an emergency.
</li><li>To attend in-service training, other training programs, and meetings as required.
</li><li>To process clear understanding and commitment to NMC policy. Accepts and recognizes the legal limitations and ethical parameters of the role.
</li><li>Demonstrate effective oral and written communication skills.
</li><li>Demonstrate flexibility in meeting work demands and ability to work as a team.
</li><li>Maintain confidentiality at all times.
</li><li>Be informed on health &amp; safety regulations affecting the unit in which they work.
</li><li>Have full knowledge of fire precautions and regulations.
</li><li>Be familiar with all types of hospital codes and know how to telephone for emergency services.</li></ul></div>
 <div><ul><li>Nursing qualification with valid license preferred, or High School Diploma.
</li><li>Two or more years of experience in a hospital environment / nursing experience.
</li><li>Previous experience as a Clinical Assistant.</li></ul></div>

Clinic Support Assistant

<div>Company: IIQAF Group 
Location: Abu Dhabi, UAE 
Industry: Hospitality 
Salary: AED 6,000 &ndash; AED 7,000 per month 
Job Type: Full-Time
<h2 class="jobSectionHeader">Job Overview</h2>
IIQAF Group is seeking a reliable and organized Warehouse Assistant in Abu Dhabi to support our hospitality operations. The ideal candidate will have experience in inventory management, stock control, warehouse operations, receiving and dispatching goods, and storage management.
This role is suitable for candidates searching for Warehouse Assistant jobs in Abu Dhabi, Storekeeper UAE, Inventory Assistant roles, Logistics Support jobs, or Hospitality Warehouse Staff positions.
<h2 class="jobSectionHeader">Key Responsibilities</h2>
<ul><li>Receive, inspect, and record incoming goods and supplies</li><li>
Organize and store inventory in the warehouse properly</li><li>
Maintain accurate stock records and inventory control systems</li><li>
Prepare and dispatch items to departments as required</li><li>
Assist with stock counts and inventory audits</li><li>
Ensure warehouse cleanliness and safety standards</li><li>
Coordinate with procurement and hospitality teams</li><li>
Monitor stock levels and report shortages</li><li>
Follow UAE workplace safety and storage regulations</li></ul>
<h2 class="jobSectionHeader">Requirements</h2>
<ul><li>Previous experience as Warehouse Assistant, Storekeeper, or Inventory Clerk</li><li>
Experience in hospitality, hotel, or retail environment preferred</li><li>
Basic knowledge of inventory management systems</li><li>
Good organizational and record-keeping skills</li><li>
Ability to lift and move supplies when required</li><li>
Strong attention to detail</li><li>
Ability to work in a team environment</li><li>
Immediate availability preferred</li></ul></div>

Warehouse Assistant

Space42

<div>
 
 Overview
 
 
 
 
 ABOUT US
 
 
 
 Space42 (ADX: SPACE42) is a UAE-based AI-powered SpaceTech company that integrates satellite communications, geospatial analytics and artificial intelligence capabilities to enlighten the Earth from space. Established in 2024 following the successful merger between Bayanat and Yahsat, Space42&rsquo;s global reach allows it to address the rapidly evolving needs of its customers in governments, enterprises, and communities.
 
 
 Our vision is to pioneer beyond today for humanity to experience a better tomorrow. Space42 challenges traditional approaches with advanced AI and cutting-edge satellite technology, making space more accessible and redefining how data from space can be used on Earth. We aim to achieve this by connecting people to rewire potential, informing decisions to reimagine impact and enabling action to redefine tomorrow.
 
 
 For more information visit: www.space42.ai, follow us on X and Instagram @Space42ai
 
 
 
 Role Summary
 
 
 
 As a Senior AI Engineer &ndash; Geospatial Intelligence &amp; Advanced AI, you will lead the design, implementation, and operationalization of production-grade AI capabilities that turn multi-source geospatial data into decision-ready intelligence. You will work closely with Product Managers, Data Engineers, Software Developers, and domain experts to deliver scalable, reliable solutions across geospatial computer vision (e.g., satellite/remote-sensing imagery), graph/topology-aware modeling (networks and relational geospatial structures), optimization, and anomaly detection.
 
 
 &ldquo;Advanced AI&rdquo; in this role is an accelerator: you will selectively apply modern AI patterns (including multimodal/foundation-model capabilities where appropriate) to improve analyst workflows, automation, and interpretability&mdash;while keeping GEOINT accuracy, traceability, and operational reliability as the primary success criteria.
 
 
 You will be hands-on while also providing technical leadership&mdash;driving best practices for model development, ML system architecture, MLOps, reliability engineering, and responsible deployment.
 
 
 
 Responsibilities
 
 
 
 
 Technical leadership &amp; delivery
 
 
 
 <ul>
 <li>
 Lead end-to-end delivery of ML/AI solutions from problem framing and prototyping to production deployment, monitoring, and continuous improvement.
 </li>
 <li>
 Provide technical direction on model selection, experimentation strategy, evaluation methodology, and architecture.
 </li>
 <li>
 Mentor and review work of AI Engineers; raise engineering standards through code reviews, design reviews, and reusable patterns.
 
 
 </li>
 </ul>
 
 Geospatial intelligence (GEOINT) products
 
 
 
 <ul>
 <li>
 Build AI-powered geospatial intelligence workflows that transform imagery and geospatial data into actionable outputs (alerts, change maps, object inventories, situational overlays).
 </li>
 <li>
 Partner with domain teams to define geospatial product requirements, acceptance criteria, and quality thresholds; translate them into model and pipeline requirements.
 </li>
 <li>
 Drive dataset strategy for GEOINT tasks (labeling guidelines, sampling, balancing, provenance, and ground-truth validation).
 </li>
 <li>
 Ensure model outputs are map-ready: georeferenced, interpretable, and compatible with cartographic and downstream GEOINT production pipelines (e.g., layers, metadata, confidence measures, and audit trails).
 
 
 </li>
 </ul>
 
 Model development &amp; experimentation (Geospatial Intelligence, Graph AI &amp; Advanced AI)
 
 
 
 <ul>
 <li>
 Design, train, tune, and validate Deep Learning and classical ML models for geospatial computer vision (e.g., object detection/segmentation/change detection on satellite imagery).
 </li>
 <li>
 Develop and evaluate Graph Neural Network (GNN) models and topological learning approaches for problems involving spatial relationships, networks, and infrastructure graphs.
 </li>
 <li>
 Apply graph-based learning for use cases such as transport networks, connectivity analysis, supply chains, and geospatial relationship modeling.
 </li>
 <li>
 Contribute to analyst productivity and decision support by integrating advanced AI patterns where they measurably help (e.g., multimodal models for triage, structured extraction, search/summarization over GEOINT artifacts), with clear evaluation, governance, and guardrails.
 </li>
 <li>
 Define and implement evaluation approaches for advanced AI components (offline test sets, human-in-the-loop review, red-teaming where relevant) and ensure outputs are reliable, attributable, and policy-compliant.
 </li>
 <li>
 Build robust feature engineering pipelines and evaluation frameworks, including task-specific metrics (e.g., mAP/IoU, geospatial accuracy), graph metrics, and GenAI quality measures.
 
 
 </li>
 </ul>
 
 Production ML &amp; MLOps
 
 
 
 <ul>
 <li>
 Build and launch models in production using best practices in CI/CD, model versioning, experiment tracking, and automated testing.
 </li>
 <li>
 Define and manage SLAs/SLOs for model services (latency, throughput, accuracy drift, availability).
 </li>
 <li>
 Implement monitoring for data quality, model drift, and operational health; drive incident triage and resolution.
 
 
 </li>
 </ul>
 
 Data &amp; platform collaboration
 
 
 
 <ul>
 <li>
 Collaborate with engineers, product managers, and analysts to understand business needs and data requirements.
 </li>
 <li>
 Partner with data infrastructure teams to improve dataset reliability, lineage, governance, and access patterns.
 </li>
 <li>
 Build and maintain production-grade data pipelines (extraction, transformation, loading) that support training and inference.
 
 
 </li>
 </ul>
 
 Operational excellence &amp; communication
 
 
 
 <ul>
 <li>
 Develop clear documentation for models, pipelines, evaluation artifacts, and operational runbooks.
 </li>
 <li>
 Communicate trade-offs and results to technical and non-technical stakeholders.
 </li>
 <li>
 Enjoy collaborating in a multicultural and distributed environment.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Education
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Computer Science, Statistics, Information Systems, or another quantitative field (PhD is a plus).
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 5+ years of experience in software engineering, data engineering, or ML engineering (or equivalent).
 </li>
 <li>
 3+ years of hands-on experience developing ML/AI algorithms and deploying them into production environments.
 </li>
 <li>
 Experience delivering GEOINT-grade analytics or products with quality controls (QA, traceability, auditability) and operational reliability expectations.
 
 
 </li>
 </ul>
 
 Technical competencies
 
 
 
 <ul>
 <li>
 Deep Learning frameworks (e.g., PyTorch, TensorFlow) and classical ML (e.g., scikit-learn, XGBoost).
 </li>
 <li>
 Geospatial intelligence &amp; GeoAI: raster/vector data fundamentals, map projections/CRS, tiling/geo-referencing, and quality considerations for intelligence products.
 </li>
 <li>
 Geospatial computer vision: detection/segmentation/classification, change detection, multi-spectral/SAR basics, and post-processing for geospatial products.
 </li>
 <li>
 Familiarity with geospatial tooling and data stacks (e.g., GDAL/rasterio, GeoPandas equivalents, PostGIS, cloud-optimized formats such as COG, STAC concepts, and OGC-style interoperability is a plus).
 </li>
 <li>
 Graph AI and topology-aware learning: experience with Graph Neural Networks (GNNs), graph embeddings, network representation learning, and modeling relational/topological structures.
 </li>
 <li>
 Familiarity with graph ML frameworks such as PyTorch Geometric, DGL, or similar libraries.
 </li>
 <li>
 Familiarity with modern AI patterns for augmenting workflows (e.g., embeddings/vector search, basic multimodal model integration) and how to evaluate them safely in production.
 </li>
 <li>
 ML system design: online/offline inference, batch scoring, model serving patterns, feature stores.
 </li>
 <li>
 Data engineering: big data pipelines, architectures and datasets, queuing and streaming processing.
 </li>
 <li>
 Strong programming skills in Python and at least one of Java / Scala / Go.
 </li>
 <li>
 Version control and collaboration tooling (GitHub, GitLab).
 
 
 </li>
 </ul>
 
 Ideally, you&rsquo;ll also need
 
 
 
 <ul>
 <li>
 Experience with geospatial / remote sensing / satellite imagery data.
 </li>
 <li>
 Highly scalable systems and data stores.
 </li>
 <li>
 Cloud platforms such as AWS or GCP (experience with managed ML services is a plus).
 </li>
 <li>
 Cartography experience (map design principles, symbology, labeling, scale/CRS considerations) and delivering analyst-friendly geospatial products.
 </li>
 <li>
 Photogrammetry / 3D reconstruction experience (e.g., SfM/MVS concepts, orthorectification, DEM/DSM generation, bundle adjustment fundamentals) and working with aerial/satellite imagery pipelines.
 </li>
 <li>
 Experience translating AI outputs into cartographic deliverables (e.g., map layers, annotations, styling rules, and uncertainty visualization).
 </li>
 <li>
 Familiarity with geospatial tooling and formats (e.g., raster/vector concepts, GDAL/rasterio equivalents), and deployment of geospatial analytics at scale.
 </li>
 <li>
 Experience with MLOps tooling (e.g., MLflow, Kubeflow, Airflow, DVC, Weights &amp; Biases).
 </li>
 <li>
 Containerization and orchestration (Docker, Kubernetes).
 </li>
 <li>
 LLM/VLM experience (nice-to-have): applying multimodal/LLM capabilities to GEOINT workflows (e.g., RAG over mission documentation, agentic tooling, structured extraction), plus practical evaluation and guardrails.
 </li>
 <li>
 Experience implementing GenAI safety patterns (PII handling, content filtering, jailbreak resistance), model governance, and security considerations.
 </li>
 <li>
 Experience building human-in-the-loop review workflows for GEOINT outputs (QA, adjudication, auditability) and operating under high-reliability expectations.
 </li>
 </ul>
</div>

Senior AI Engineer (Space42)

TALENTMATE

<div>
 
 Overview
 
 
 
 Job Description
 
 
 
 About Us
 
 
 
 Space42 (ADX: SPACE42) is a UAE-based AI-powered SpaceTech company that integrates satellite communications, geospatial analytics and artificial intelligence capabilities to enlighten the Earth from space. Established in 2024 following the successful merger between Bayanat and Yahsat, Space42&rsquo;s global reach allows it to address the rapidly evolving needs of its customers in governments, enterprises, and communities.
 
 
 Our vision is to pioneer beyond today for humanity to experience a better tomorrow. Space42 challenges traditional approaches with advanced AI and cutting-edge satellite technology, making space more accessible and redefining how data from space can be used on Earth. We aim to achieve this by connecting people to rewire potential, informing decisions to reimagine impact and enabling action to redefine tomorrow.
 
 
 For more information visit: www.space42.ai, follow us on X and Instagram @Space42ai
 
 
 
 Role Summary
 
 
 
 As a Senior AI Engineer &ndash; Geospatial Intelligence &amp; Advanced AI, you will lead the design, implementation, and operationalization of production-grade AI capabilities that turn multi-source geospatial data into decision-ready intelligence. You will work closely with Product Managers, Data Engineers, Software Developers, and domain experts to deliver scalable, reliable solutions across geospatial computer vision (e.g., satellite/remote-sensing imagery), graph/topology-aware modeling (networks and relational geospatial structures), optimization, and anomaly detection.
 
 
 &ldquo;Advanced AI&rdquo; in this role is an accelerator: you will selectively apply modern AI patterns (including multimodal/foundation-model capabilities where appropriate) to improve analyst workflows, automation, and interpretability&mdash;while keeping GEOINT accuracy, traceability, and operational reliability as the primary success criteria.
 
 
 You will be hands-on while also providing technical leadership&mdash;driving best practices for model development, ML system architecture, MLOps, reliability engineering, and responsible deployment.
 
 
 
 Responsibilities
 
 
 
 
 Technical leadership &amp; delivery
 
 
 
 <ul>
 <li>
 Lead end-to-end delivery of ML/AI solutions from problem framing and prototyping to production deployment, monitoring, and continuous improvement.
 </li>
 <li>
 Provide technical direction on model selection, experimentation strategy, evaluation methodology, and architecture.
 </li>
 <li>
 Mentor and review work of AI Engineers; raise engineering standards through code reviews, design reviews, and reusable patterns.
 
 
 </li>
 </ul>
 
 Geospatial intelligence (GEOINT) products
 
 
 
 <ul>
 <li>
 Build AI-powered geospatial intelligence workflows that transform imagery and geospatial data into actionable outputs (alerts, change maps, object inventories, situational overlays).
 </li>
 <li>
 Partner with domain teams to define geospatial product requirements, acceptance criteria, and quality thresholds; translate them into model and pipeline requirements.
 </li>
 <li>
 Drive dataset strategy for GEOINT tasks (labeling guidelines, sampling, balancing, provenance, and ground-truth validation).
 </li>
 <li>
 Ensure model outputs are map-ready: georeferenced, interpretable, and compatible with cartographic and downstream GEOINT production pipelines (e.g., layers, metadata, confidence measures, and audit trails).
 
 
 </li>
 </ul>
 
 Model development &amp; experimentation (Geospatial Intelligence, Graph AI &amp; Advanced AI)
 
 
 
 <ul>
 <li>
 Design, train, tune, and validate Deep Learning and classical ML models for geospatial computer vision (e.g., object detection/segmentation/change detection on satellite imagery).
 </li>
 <li>
 Develop and evaluate Graph Neural Network (GNN) models and topological learning approaches for problems involving spatial relationships, networks, and infrastructure graphs.
 </li>
 <li>
 Apply graph-based learning for use cases such as transport networks, connectivity analysis, supply chains, and geospatial relationship modeling.
 </li>
 <li>
 Contribute to analyst productivity and decision support by integrating advanced AI patterns where they measurably help (e.g., multimodal models for triage, structured extraction, search/summarization over GEOINT artifacts), with clear evaluation, governance, and guardrails.
 </li>
 <li>
 Define and implement evaluation approaches for advanced AI components (offline test sets, human-in-the-loop review, red-teaming where relevant) and ensure outputs are reliable, attributable, and policy-compliant.
 </li>
 <li>
 Build robust feature engineering pipelines and evaluation frameworks, including task-specific metrics (e.g., mAP/IoU, geospatial accuracy), graph metrics, and GenAI quality measures.
 
 
 </li>
 </ul>
 
 Production ML &amp; MLOps
 
 
 
 <ul>
 <li>
 Build and launch models in production using best practices in CI/CD, model versioning, experiment tracking, and automated testing.
 </li>
 <li>
 Define and manage SLAs/SLOs for model services (latency, throughput, accuracy drift, availability).
 </li>
 <li>
 Implement monitoring for data quality, model drift, and operational health; drive incident triage and resolution.
 
 
 </li>
 </ul>
 
 Data &amp; platform collaboration
 
 
 
 <ul>
 <li>
 Collaborate with engineers, product managers, and analysts to understand business needs and data requirements.
 </li>
 <li>
 Partner with data infrastructure teams to improve dataset reliability, lineage, governance, and access patterns.
 </li>
 <li>
 Build and maintain production-grade data pipelines (extraction, transformation, loading) that support training and inference.
 
 
 </li>
 </ul>
 
 Operational excellence &amp; communication
 
 
 
 <ul>
 <li>
 Develop clear documentation for models, pipelines, evaluation artifacts, and operational runbooks.
 </li>
 <li>
 Communicate trade-offs and results to technical and non-technical stakeholders.
 </li>
 <li>
 Enjoy collaborating in a multicultural and distributed environment.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Education
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Computer Science, Statistics, Information Systems, or another quantitative field (PhD is a plus).
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 5+ years of experience in software engineering, data engineering, or ML engineering (or equivalent).
 </li>
 <li>
 3+ years of hands-on experience developing ML/AI algorithms and deploying them into production environments.
 </li>
 <li>
 Experience delivering GEOINT-grade analytics or products with quality controls (QA, traceability, auditability) and operational reliability expectations.
 
 
 </li>
 </ul>
 
 Technical competencies
 
 
 
 <ul>
 <li>
 Deep Learning frameworks (e.g., PyTorch, TensorFlow) and classical ML (e.g., scikit-learn, XGBoost).
 </li>
 <li>
 Geospatial intelligence &amp; GeoAI: raster/vector data fundamentals, map projections/CRS, tiling/geo-referencing, and quality considerations for intelligence products.
 </li>
 <li>
 Geospatial computer vision: detection/segmentation/classification, change detection, multi-spectral/SAR basics, and post-processing for geospatial products.
 </li>
 <li>
 Familiarity with geospatial tooling and data stacks (e.g., GDAL/rasterio, GeoPandas equivalents, PostGIS, cloud-optimized formats such as COG, STAC concepts, and OGC-style interoperability is a plus).
 </li>
 <li>
 Graph AI and topology-aware learning: experience with Graph Neural Networks (GNNs), graph embeddings, network representation learning, and modeling relational/topological structures.
 </li>
 <li>
 Familiarity with graph ML frameworks such as PyTorch Geometric, DGL, or similar libraries.
 </li>
 <li>
 Familiarity with modern AI patterns for augmenting workflows (e.g., embeddings/vector search, basic multimodal model integration) and how to evaluate them safely in production.
 </li>
 <li>
 ML system design: online/offline inference, batch scoring, model serving patterns, feature stores.
 </li>
 <li>
 Data engineering: big data pipelines, architectures and datasets, queuing and streaming processing.
 </li>
 <li>
 Strong programming skills in Python and at least one of Java / Scala / Go.
 </li>
 <li>
 Version control and collaboration tooling (GitHub, GitLab).
 
 
 </li>
 </ul>
 
 Ideally, you&rsquo;ll also need
 
 
 
 <ul>
 <li>
 Experience with geospatial / remote sensing / satellite imagery data.
 </li>
 <li>
 Highly scalable systems and data stores.
 </li>
 <li>
 Cloud platforms such as AWS or GCP (experience with managed ML services is a plus).
 </li>
 <li>
 Cartography experience (map design principles, symbology, labeling, scale/CRS considerations) and delivering analyst-friendly geospatial products.
 </li>
 <li>
 Photogrammetry / 3D reconstruction experience (e.g., SfM/MVS concepts, orthorectification, DEM/DSM generation, bundle adjustment fundamentals) and working with aerial/satellite imagery pipelines.
 </li>
 <li>
 Experience translating AI outputs into cartographic deliverables (e.g., map layers, annotations, styling rules, and uncertainty visualization).
 </li>
 <li>
 Familiarity with geospatial tooling and formats (e.g., raster/vector concepts, GDAL/rasterio equivalents), and deployment of geospatial analytics at scale.
 </li>
 <li>
 Experience with MLOps tooling (e.g., MLflow, Kubeflow, Airflow, DVC, Weights &amp; Biases).
 </li>
 <li>
 Containerization and orchestration (Docker, Kubernetes).
 </li>
 <li>
 LLM/VLM experience (nice-to-have): applying multimodal/LLM capabilities to GEOINT workflows (e.g., RAG over mission documentation, agentic tooling, structured extraction), plus practical evaluation and guardrails.
 </li>
 <li>
 Experience implementing GenAI safety patterns (PII handling, content filtering, jailbreak resistance), model governance, and security considerations.
 </li>
 <li>
 Experience building human-in-the-loop review workflows for GEOINT outputs (QA, adjudication, auditability) and operating under high-reliability expectations.
 
 
 </li>
 </ul>
 Job Details
 
 
 Role Level: Mid-Level Work Type: Full-Time Country: United Arab Emirates City: Abu Dhabi Company Website: https://space42.ai/ Job Function: Information Technology (IT) Company Industry/
 
 
 Sector: Space Research and Technology
 
 
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Senior AI Engineer Space42

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