Supervisor, AI-ML Data Annotation (AV/ADAS)

Join Digital Divide Data as a Supervisor in our AI-ML Data Annotation team focused on Advanced Vehicle (AV) and Advanced Driver Assistance Systems (ADAS). In this pivotal role, you will oversee and guide a team dedicated to ensuring high-quality data annotation that drives innovation in AI and machine learning applications. Your leadership will be vital in enhancing data accuracy and supporting the development of cutting-edge technology within the automotive industry.

Role OverviewThe LiDAR Annotation Associate plays a crucial role in performing 2D and 3D LiDAR annotation and segmentation tasks, adhering to established Standard Operating Procedures (SOPs), quality standards, and productivity goals. This position demands a high level of technical accuracy, spatial awareness, and disciplined execution within a fast-paced production environment.ResponsibilitiesProduction & Quality ExecutionCarry out repetitive 2D and 3D LiDAR annotation and segmentation tasks with strict compliance to SOPs.Ensure classification accuracy across various object types and categories.Achieve or surpass established benchmarks for productivity, quality, and accuracy.Maintain consistent output with minimal oversight.Issue Identification & Continuous ImprovementDetect recurring annotation errors or tool-related issues.Report quality risks or inconsistencies in labeling standards.Propose enhancements to tools, taxonomy, or workflow processes.Communication & CollaborationEffectively communicate with colleagues, QA teams, and stakeholders in English.Document issues clearly and accurately.Success ProfileExceptional attention to detail.Strong spatial and logical reasoning skills.Ability to maintain accuracy in repetitive workflows.Basic understanding of quality control principles.Capability to identify misclassification and segmentation errors.

Join RWS as a freelance AI Data Specialist focusing on enhancing AI-generated content in Amharic. This part-time, remote role offers flexibility in your work schedule, allowing you to contribute to the development and safety of AI models while earning extra income. Your responsibilities will include data collection, evaluation, annotation, and various tagging tasks across multiple content types such as audio, video, and images. Start immediately and make a meaningful impact in the AI landscape.

Join our innovative team at RWS as an AI Data Specialist, where you will play a pivotal role in enhancing AI-generated content in Oromo. Position Type: FreelanceLocation: RemoteWork Schedule: Part-time - Minimum 10 hours per week, with a flexible schedule allowing you to work at your convenience.Start Date: ImmediateDuration: To Be ConfirmedCompensation: Project rates dependent on the vendor’s location Contribute to the Future of AIAre you a student, a recent graduate, a stay-at-home parent, or a gig worker looking for flexible remote opportunities? Join us in shaping the development and safety of cutting-edge AI models! Your RoleIn this position, you will engage in a variety of data-centric tasks, which include:- Collecting, evaluating, and annotating data.- Conducting pairwise comparisons.- Executing counting tasks.- Tagging and labeling objects across various content formats, including audio, video, images, and collected data. What We Seek:- Native fluency in Oromo- Proficiency in English: Fluent or advanced English skills (B2–C2 levels)- Preferred AI & Data Skills: Experience in machine learning, data collection, preprocessing, evaluation, quality assurance, and annotation. What We Offer:- Flexible working hours- Opportunity for additional income- Prompt payment schedule- Ideal for students, part-time workers, or stay-at-home parents#LI-CAN17

Jobs for Humanity is hiring a Factory Supervisor in Nairobi. This position plays a key part in keeping daily factory operations running smoothly while maintaining quality standards. Role overview The Factory Supervisor manages the day-to-day workflow on the production floor. The focus is on meeting efficiency targets and upholding quality in every process. Leadership is central to this role, with an emphasis on motivating and guiding the team. What you will do Oversee daily factory operations Monitor and maintain quality standards Support and inspire team members to reach performance goals Location This position is based in Nairobi.

Join Digital Divide Data as an AI Solutions Manager, where you will lead the charge in developing innovative AI solutions that empower communities and organizations. You will be responsible for managing AI projects, collaborating with cross-functional teams, and ensuring the successful delivery of AI-driven solutions that meet client needs.In this role, you will leverage your expertise in artificial intelligence, project management, and strategic thinking to drive initiatives that enhance operational efficiency and deliver measurable results.

Role OverviewThe Senior Associate plays a pivotal role in advanced 2D and 3D LiDAR segmentation, ensuring quality governance and providing operational oversight. This position demands a blend of deep technical expertise, analytical precision, and comprehensive program accountability.Key ResponsibilitiesTechnical & Quality OversightExecute advanced 2D/3D annotation and segmentation tasksConduct structured quality auditsDetect and rectify systemic annotation errorsOperational OwnershipAssume full accountability for program healthEffectively distribute work among team operatorsEnsure the attainment of defined targets in:ProductivityQualityService Level Agreements (SLA)EfficiencyUtilizationMaintain strict compliance with process and quality frameworksGovernance & Stakeholder EngagementManage reporting, training, and policy adherenceProfessionally interact with global stakeholdersSimultaneously manage multiple operational streamsExperience RequirementsAt least 24 months of LiDAR labeling experienceProven advanced skills in 2D and 3D LiDAR annotation and segmentationTechnical & Analytical CompetenciesAdvanced LiDAR & Segmentation ExpertiseHigh proficiency in complex 3D point cloud segmentationMulti-class object classification capabilitiesExperience in managing occlusions and edge-case scenariosAccurate cuboid alignment and spatial calibrationTools & Systems ProficiencyFamiliarity with MS Office or Google SuiteExperience with JIRA or similar ticketing systemsAdvanced skills in Excel/Google Sheets, including:Pivot tablesVLOOKUPData extraction and manipulationAnalytical & Root Cause CapabilityProficient in data-driven performance analysisApplication of:Root Cause Analysis (RCA)Understanding of operational metrics such as:ShrinkageUtilizationProductivitySLA adherenceApplication of detailed ontology and taxonomy standardsReview and correction of segmentation inconsistenciesIdentification of systemic annotation error patterns

Oversee daily operations within the hospitality sector to ensure high-quality service delivery.Manage the welcome, farewell, accompaniment, lounge, fast track, and loyalty program services for passengers, strictly adhering to established protocols to maximize customer satisfaction.Develop and implement daily work plans for staff to maintain seamless service provision.Ensure employee compliance with the dress code, work discipline, and conduct policies during working hours.Report directly to the Operations Manager, communicating passenger feedback, requests, and expectations to relevant teams.Supervise service points to ensure operational efficiency, including resolving malfunctions and maintaining cleanliness and organization.Oversee documentation processes, such as passenger lists and service reports, ensuring accurate record-keeping.Monitor catering, cleaning, and other lounge services to ensure passenger satisfaction and coordinate necessary actions for service improvement.Assist in performance management, career planning, and training development to foster employee growth and achieve organizational goals.Participate in implementing ISO 9001, ISO 10002, and ISO 45001 standards and conduct risk assessments within the operational unit.Adhere to company policies regarding the protection and processing of personal data, staying compliant with relevant legislation and privacy commitments.

Role overview Digital Divide Data seeks an Operations Manager in Nairobi to lead projects in machine learning, autonomous vehicles, and advanced driver-assistance systems (ADAS). This role centers on guiding teams and ensuring smooth project delivery within these technology areas. What you will do Direct daily operations for projects involving machine learning and autonomous vehicle technologies Manage project teams and coordinate work across different departments Assist with integrating new technologies into current processes The team Join colleagues who focus on advancing mobility and technology. The group values collaboration and practical approaches while developing systems that support the future of transportation.

Speechify builds technology that turns written content into audio, helping over 50 million users learn and access information in new ways. Our text-to-speech tools work with PDFs, books, Google Docs, news articles, and websites, making reading more accessible and efficient. Our suite of products spans iOS, Android, Mac, and Chrome. Speechify has earned recognition from Google as Chrome Extension of the Year and received Apple’s 2025 Design Award for Inclusivity. The team at Speechify is fully distributed, with nearly 200 professionals worldwide. Members include frontend and backend engineers, AI research scientists, and leaders from companies such as Amazon, Microsoft, and Google, plus alumni from Stanford and startups like Stripe and Vercel. There is no central office; everyone works remotely. Role Overview The Data team within Speechify’s AI division is seeking a Software Engineer focused on Data Infrastructure & Acquisition. This position centers on managing and improving the systems that collect and prepare data for model training. The team’s mission is to assemble large-scale, high-quality datasets efficiently and cost-effectively, combining infrastructure, engineering, and research expertise. What You Will Do Find and secure new sources of audio data, then integrate them into the data ingestion pipeline. Maintain and improve the cloud infrastructure for the ingestion pipeline, which runs on Google Cloud Platform and uses Terraform for management. Partner with Scientists to optimize cost, throughput, and data quality, enabling richer datasets at scale for next-generation models. Work with the AI team and company leadership to shape the dataset roadmap for both consumer and enterprise product development. Location This role is based in Nairobi, Kenya, as part of Speechify’s distributed team.

We are seeking a dynamic and results-driven Production Supervisor / Assistant Plant Manager to oversee daily manufacturing operations. The successful candidate will play a pivotal role in supervising production activities, ensuring that targets are met efficiently while fostering a motivated and skilled workforce. Key responsibilities include:Implementing cost-effective manufacturing processes.Managing and inspiring production teams to achieve performance targets.Conducting training programs to boost team skills and productivity.Enforcing workplace discipline and resolving conflicts among employees.Ensuring that all products comply with company and regulatory quality standards.Collaborating closely with the quality control team to tackle production challenges.Implementing corrective actions to uphold high-quality output.Ensuring adherence to health and safety regulations in the production area.Conducting safety training and implementing risk mitigation strategies.Maintaining compliance with industry standards and government regulations.Monitoring raw material inventory levels and coordinating with procurement.Optimizing resource utilization to minimize waste and production costs.Analyzing production data to identify areas for process enhancement.Preparing and submitting reports on production performance and efficiency.Assisting in the implementation of new technologies and automation when necessary.Performing any other duties or responsibilities as assigned.

SGS is seeking a dedicated and experienced Health and Safety Supervisor to oversee safety practices within our subcontractor teams. In this role, you will ensure compliance with safety regulations, conduct safety audits, and provide training to promote a culture of safety among workers. This is an excellent opportunity for professionals passionate about workplace safety and eager to make a significant impact.

Key Responsibilities:Operational Oversight:Manage daily operations of the lounge, ensuring optimal efficiency and guest satisfaction.Direct the lounge team, including staff scheduling, task allocation, and performance assessments.Deliver exceptional service to all guests, particularly premium passengers and frequent flyers.Guest Interaction:Welcome guests warmly and address any inquiries or concerns with urgency.Ensure high-quality food, beverages, and amenities are consistently available for guests.Uphold hospitality standards equivalent to those of a luxury hotel.Culinary Oversight:Supervise the preparation and presentation of all food and beverage offerings, ensuring quality and safety.Coordinate with food & beverage suppliers for timely delivery of fresh products.Enforce strict food safety, hygiene, and cleanliness standards in the lounge.Team Development:Lead training sessions for lounge staff, focusing on guest service excellence and operational best practices.Conduct daily briefings and performance evaluations to enhance service delivery.Monitor and provide constructive feedback on staff performance.Inventory Management:Oversee inventory of food, beverages, and supplies, ensuring stock levels are maintained.Manage ordering processes and vendor relationships for seamless operations.Compliance and Safety:Ensure adherence to airline policies, safety protocols, and industry regulations.Regularly inspect facilities to ensure health and safety standards are maintained.Implement security measures to protect guests and staff in the lounge.Customer Feedback:Address customer feedback and complaints professionally, aiming to exceed expectations.Continuously identify opportunities for enhancing service quality and operational efficiency.

Role overview distro is seeking an AI Automation Specialist based in Nairobi, Nairobi City. The position centers on designing and launching automation solutions that use artificial intelligence, with a particular focus on Microsoft technologies. The work combines AI, enterprise automation, and governance to drive operational improvements through AI-driven agents and streamlined workflows. Main responsibilities Design and deployment: Build AI-powered automation and autonomous agents to handle repetitive tasks, research, data processing, and decision support. Orchestration: Develop and manage orchestration of AI agents using platforms such as Anthropic Claude, Azure AI, and OpenAI. Workflow optimization: Create and maintain automation workflows with Microsoft Power Automate (Cloud and Desktop). M365 integration: Connect automation solutions with Microsoft Teams, SharePoint, Outlook, Excel, and Dataverse. Azure architecture: Deliver solutions using Logic Apps, Azure Functions, and Azure AI Services. Subject matter expertise: Lead projects involving Microsoft Power Platform (Power Apps, Power BI, Copilot Studio) and Anthropic Claude API, including prompt engineering. Governance and compliance: Make sure all automation solutions meet data privacy, security, and responsible AI requirements. Metrics: Set and track key performance indicators to measure automation effectiveness and efficiency gains.

About One Acre Fund Since 2006, One Acre Fund has supported 5.5 million smallholder farmers in nine African countries. The organization supplies high-quality farming inputs, tree seedlings, credit, and modern agronomic training. By working with One Acre Fund, farmers increase their income and assets on supported land by more than 35% and strengthen their resilience. Over 9,000 team members from a range of backgrounds contribute to this mission. For more on the organization’s values and workplace culture, visit the Why Work Here blog post. Young Professionals Program The Young Professionals Program offers paid internships and training for outstanding African graduates. Interns take on meaningful assignments that directly support One Acre Fund’s goals. The program includes a thorough onboarding process and project design training. Interns collaborate with peers and gain practical experience to help launch their careers. Role Overview: Global Data Analyst Intern Based in Nairobi, Kenya, the Global Data Analyst Intern works with cross-country datasets to develop core data products. The focus is on building reliable dashboards and reports that inform decisions throughout the organization. This work helps advance One Acre Fund’s mission to deliver larger harvests, healthier families, and improved soil for smallholder farmers. Main Responsibilities Design, build, and maintain operational reports and dashboards to support analytics for multiple teams. Document and verify dashboards and reports for accuracy and long-term use. Monitor how tools are used and make ongoing improvements to ensure they remain useful and trusted. Manage daily operations of the tech service desk, ensuring effective and high-quality support. Escalate and resolve issues promptly to keep operations running smoothly.

Role overview Standard Bank Group is hiring a Data Privacy Manager based in Nairobi. The role centers on safeguarding data integrity and confidentiality throughout the organization. A thorough grasp of data privacy laws is essential, along with the ability to turn legal requirements into practical company policies and procedures. Main responsibilities Create, update, and oversee data privacy policies to ensure compliance with both local and international standards. Collaborate with teams across departments to enhance data protection measures. Carry out privacy impact assessments to detect and address potential risks. Serve as the primary contact for data privacy inquiries and concerns within the organization.

About One Acre FundEstablished in 2006, One Acre Fund empowers over 5.5 million smallholder farmers to enhance productivity and sustainability on their farms. Operating in nine countries that are home to two-thirds of Africa's farmers, we deliver high-quality agricultural inputs, tree seedlings, accessible credit, and comprehensive training programs. This innovative model typically boosts farmers' income and asset growth by over 35% while fostering long-term resilience. Our diverse team of more than 9,000 dedicated professionals plays a crucial role in this mission.Discover more about our culture and values through our Why Work Here blog post.About the RoleThe Global Data R&D Analyst position offers a unique opportunity to influence decision-making across all facets of One Acre Fund’s program. By leveraging various data types, including sales, yield, demographic, and satellite data, you will help us reach over one million farmers with greater efficiency and impact.In this role, you will conduct analyses that inform strategic decisions on repayment, program expansion, and operational functions, collaborating closely with program leaders to interpret findings and make informed decisions. You will also play a pivotal role in shaping our data strategy, exploring innovative ways to utilize data to enhance our program outcomes.Moreover, you will work alongside our robust agronomic and socioeconomic research teams across all operational countries, ensuring that trials are executed to the highest standards. This includes providing analytical support, training for team members, and managing our agronomic data warehouse to facilitate research collaboration, thereby amplifying our impact on smallholder farmers throughout the continent.To excel in this role, you should possess excellent communication skills and a strong analytical foundation, with experience in experimental design. You should be adept at navigating ambiguous results derived from imperfect data and advising leadership on the risks associated with various decision paths.This role is intentionally hybrid, requiring proficiency as:an experimental methodologist (trial design & causal inference),an applied data scientist (production analytics, geospatial methods, modeling), andan effective communicator across diverse teams.

Reporting to: Data Analytics ManagerOur Mission:At Watu Africa, we empower aspiring entrepreneurs.As Africa’s leading Asset Finance company, we are dedicated to making dreams a reality for those who seek to start and grow their businesses. We envision a future filled with opportunities and prosperity for the continent, and we aim to be a driving force in this transformation. Our vision is to deliver asset financing solutions for mobility assets (including motorcycles, three-wheelers, and vehicles) and mobile devices to motivated individuals who believe that the right tools can help them succeed as entrepreneurs while supporting their families and communities. Our commitment is to Empower Entrepreneurs by providing the resources needed to advance and thrive in their lives.Your Responsibilities:Develop and maintain comprehensive reports and dashboards for various key performance indicators (KPIs).Utilize data analysis and statistical methods to answer business queries.Assist the management team with a range of data-related requests.Conduct regular audits to ensure data quality in accordance with company policies.Support the establishment and maintenance of back-end data ingestion and transformation processes.Qualifications We Seek:Technical Skills:A degree or diploma in Data Analytics or a related discipline.Over 2 years of experience in Data Analysis.Proficiency in advanced SQL (required).Strong knowledge of Excel and Google Sheets.Familiarity with relational database concepts.Experience in data preparation and acquisition.Preferred Technical Knowledge:Proficient in R or Python.Experience with Google Cloud solutions, particularly Google Data Studio and BigQuery.Experience with non-relational databases or big data technologies.Familiarity with Git and dbt.Non-Technical Skills:Ability to work independently and take initiative.Meticulous attention to detail.Self-motivated and results-oriented.Effective team player with strong communication skills.How to Apply:Click this link: Apply Now.

Develop and implement advanced algorithms and statistical models to extract insights from large datasets, enhance model performance, and ensure data quality through rigorous validation and cleansing processes.Execute data preprocessing, including cleaning and verifying the integrity of data utilized for analysis.Conduct exploratory data analysis to uncover trends and patterns.Research and create innovative statistical models tailored for complex data analysis.

Lead initiatives to attract and retain clients through strategic, solution-oriented business development.Oversee customer onboarding, training, and successful integration of AI-driven products.Serve as the main liaison between clients and our internal product and technology teams.Create and conduct impactful training sessions for clients and partners.Facilitate pilot programs, demonstrations, and ensure success post-implementation.