Generalist (AI Training Specialist)

Job description

**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Generalist (AI Training Specialist) based in India.** As a Generalist (AI Training Specialist), you will contribute to the development and improvement of next-generation Artificial Intelligence (AI) systems through thoughtful analysis, evaluation, and high-quality written input. You will review diverse datasets and AI-generated outputs, assessing their accuracy, relevance, consistency, and overall quality. The role is designed for intellectually curious professionals who enjoy solving problems and applying structured reasoning across a broad range of subjects. You will help identify areas for improvement and provide actionable feedback that supports better AI model performance. Working in a digital-first environment, you will balance independent work with collaboration across distributed teams. Strong attention to detail and the ability to interpret complex guidelines will be essential to maintaining consistent and reliable deliverables. This is an opportunity to apply your transferable analytical and communication skills to practical AI development projects, even without prior AI experience. ### Accountabilities - - Analyze, evaluate, and review diverse datasets to support Artificial Intelligence (AI) system training, validation, and improvement. - Produce clear, accurate, and high-quality written input in accordance with project requirements and established guidelines. - Review AI-generated content and outputs for relevance, accuracy, consistency, quality, and alignment with defined expectations. - Identify errors, inconsistencies, and opportunities for improvement, providing constructive feedback to support model performance. - Complete assignments involving critical thinking, reasoning, problem-solving, research, and analysis across a broad range of subjects. - Follow project guidelines, processes, quality standards, and evaluation criteria consistently across assigned tasks. - Contribute to quality assurance and review processes while maintaining a high level of accuracy and attention to detail. - Communicate observations, findings, assessments, and insights clearly through written and verbal channels. - Work independently to manage assigned responsibilities while collaborating effectively with distributed teams when required. - Organize and prioritize workloads to meet deadlines and deliver high-quality work consistently. - Adapt to new subject areas, processes, tools, and project requirements as assignments evolve. ### **Requirements** - Excellent written and spoken English communication skills. - Strong critical thinking, logical reasoning, analytical, and problem-solving abilities. - Exceptional attention to detail and a strong commitment to accuracy and quality. - Ability to understand complex instructions, evaluation criteria, and project guidelines and apply them consistently. - Ability to assess information objectively and identify inaccuracies, inconsistencies, or areas requiring improvement. - Strong written communication skills, with the ability to explain observations and feedback clearly. - Ability to work independently in a remote, digital-first, and fast-paced environment. - Strong organizational and time-management skills, with the ability to manage multiple assigned tasks and deadlines. - Adaptability and willingness to learn new processes, tools, topics, and subject areas. - Previous experience in data annotation, data labeling, content evaluation, quality assurance, research, or similar analytical work is an advantage. - Experience reviewing written content or evaluating information for accuracy and quality is preferred. - Familiarity with digital collaboration tools and distributed working environments is beneficial. - Previous exposure to Artificial Intelligence (AI) projects or technologies is advantageous but not required. ### **Benefits** - Competitive compensation of $50–$90 per hour. - Contractor engagement. - Remote working arrangement. - Flexible digital-first working environment. - Opportunity to contribute to the development and improvement of next-generation AI systems. - Opportunity to apply analytical, reasoning, research, and communication skills across diverse subject areas. - Exposure to AI training, validation, evaluation, and quality assurance processes. - Opportunity to work collaboratively with distributed teams while developing new skills and knowledge.