
RWS · Nairobi
We are looking for AI Data Specialists to support the improvement of AI-generated content in Oromo. Job Type: Freelance Location: Work from home Work Schedule...
We are looking for AI Data Specialists to support the improvement of AI-generated content in Oromo.
Job Type: Freelance
Location: Work from home
Work Schedule: Part-time - 10+ hours per week. Flexible - work whenever you want.
Start Date: Immediately
Duration: TBC
Rate: 8 USD per hour (rates vary per country. If you are based elsewhere, the rates will be different)
Help Shape the Future of AI
Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today’s AI models?
What You’ll Do
The role involves performing diverse data-related tasks, including:
What We Offer
About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking an experienced Principal Hardware Diagnostics Engineer to design and develop diagnostics software used to monitor hardware health and diagnose system-level issues across Graphcore’s AI infrastructure platforms. This role focuses on building diagnostics agents, tools, and analytics frameworks that enable engineers and automation systems to identify, isolate, and resolve hardware issues across blade-level servers and rack-scale clusters. The Team Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. The Systems Engineering and Platform Validation team ensures Graphcore’s AI compute platforms are reliable, diagnosable, and operationally robust at scale. The team collaborates with hardware engineering, firmware, cloud infrastructure, and automation teams to develop tools and frameworks that monitor system health, detect hardware failures, and accelerate root-cause analysis across AI clusters. Responsibilities and Duties * Design and develop automated hardware diagnostics solutions for blade-level servers and rack-scale AI systems. * Architect and implement diagnostic agents, monitoring tools, and analytics frameworks to track hardware telemetry. * Collaborate with hardware teams to integrate low-level diagnostic modules into monitoring systems. * Develop diagnostics tools capable of detecting hardware health conditions and isolating failures. * Create diagnostic modules used for internal validation and production data center operations. * Provide detailed hardware fault information to system engineers to accelerate troubleshooting. * Define remediation workflows and insights for hardware fault scenarios across nodes and clusters. * Collaborate with firmware, networking, and cloud platform teams to integrate diagnostics across the system stack. Candidate Profile Essential * Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, or related discipline. * Strong software engineering experience in Python, C++, or C#. * Experience developing diagnostics or monitoring systems for hardware platforms. * Experience working with distributed systems or cloud infrastructure. * Strong knowledge of Linux environments and system-level diagnostics tools. * Experience collaborating with CM/ODM partners on manufacturing diagnostics and fault isolation. * Strong analytical and debugging skills. * Excellent communication and collaboration abilities. Desirable * Experience working with AI hardware platforms or accelerator-based computing systems. * Familiarity with hyperscale data center infrastructure. * Experience building cluster-level monitoring or diagnostics systems. * Experience interacting with internal or external customers during diagnostics solution development. In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP). We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
We are looking for AI Data Specialists to support the improvement of AI-generated content in German. Job Type: Freelance Location: Work from home Work Schedule: Part-time - 10+ hours per week. Flexible - work whenever you want. Start Date: Immediately Rate: 18 USD per hour (rates vary per country. If you are based elsewhere, the rates will be different) Help Shape the Future of AI Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today’s AI models? What You’ll Do The role involves performing diverse data-related tasks, including: - Data collection, evaluation, and annotation. - Pairwise comparisons. - Counting tasks. - Object tagging and labeling across different content types (audio, video, images, or collected data) What we’re looking for: - Native-level fluency in German - English Proficiency: Fluent or advanced proficiency in English (levels B2–C2) - AI & Data Capabilities (Preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling. What We Offer - Flexible schedule - Opportunity to earn extra income - Timely payments - The job is ideal for students, part-timers, or stay-at-home parents
We are looking for AI Data Specialists to support the improvement of AI-generated content in Dutch. Job Type: Freelance Location: Work from home Work Schedule: Part-time - 10+ hours per week. Flexible - work whenever you want. Start Date: Immediately Duration: TBC Rate: 18.5 USD per hour (rates vary per country. If you are based elsewhere, the rates will be different) Help Shape the Future of AI Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today’s AI models? What You’ll Do The role involves performing diverse data-related tasks, including: - Data collection, evaluation, and annotation. - Pairwise comparisons. - Counting tasks. - Object tagging and labeling across different content types (audio, video, images, or collected data) What we’re looking for: - Native-level fluency in Dutch - English Proficiency: Fluent or advanced proficiency in English (levels B2–C2) - AI & Data Capabilities (Preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling. What We Offer - Flexible schedule - Opportunity to earn extra income - Timely payments - The job is ideal for students, part-timers, or stay-at-home parents