HUNTSVILLE, ALPosted 24 days ago

Job summary

• Job post source

  This job is directly from Innodata Inc.

• Job overview

  The Generative AI Associate role at Innodata Inc. is a part-time, flexible independent contractor position focused on contributing to the development of generative AI and large language models by leveraging language and reasoning expertise.

• Responsibilities and impact

  The role involves evaluating AI model performance, labeling and classifying content, assessing content quality and understanding, and creating additional training data to support machine learning models.

• Compensation and benefits

  The position is part-time with up to 28 hours weekly, fully remote within the U.S. (excluding Puerto Rico), and offers flexible independent contract employment; specific salary and benefits details are not provided.

• Experience and skills

  Candidates should have strong skills in language, logic, and content evaluation; backgrounds in writing, linguistics, education, or research are relevant; specific experience requirements are not detailed.

• Career development

  The role offers the opportunity to contribute to cutting-edge AI development and shape future AI technology while maintaining flexible work hours, supporting professional growth in AI and language technology fields.

• Work environment and culture

  The company promotes a flexible, remote work environment with a global workforce and values innovation in AI technology.

• Company information

  Innodata Inc. is a leading data engineering and AI technology solutions provider with over 7,000 employees worldwide, serving major technology companies and industries such as financial services, insurance, law, and medicine.

• Team overview

  The candidate will join a global contributor community as part of the Subject Matter Expert on Demand program, collaborating remotely on AI projects.

• Job location and travel

  The job is fully remote within the U.S., excluding Puerto Rico, allowing flexible work from anywhere in the country.

• Unique job features

  This role is unique as a flexible, part-time independent contractor position that allows contributors to impact AI model training and development on their own schedule, focusing on generative AI and large language models.

Company overview

Innodata Inc. is a global digital services and solutions provider specializing in data transformation, information management, and analytics. The company generates revenue by offering services such as data annotation, content enrichment, and digital transformation to industries like publishing, financial services, and healthcare. Founded in 1988, Innodata has evolved to leverage advanced technologies like artificial intelligence and machine learning to enhance its service offerings. Key historical milestones include its early adoption of digital content services and continuous innovation in AI-driven solutions.

How to land this job

• Tailor your resume to highlight your experience with AI technologies, language evaluation, annotation, and content classification, emphasizing your ability to work independently and flexibly in remote roles.

• Focus on showcasing skills in AI model assessment, data labeling, and content quality evaluation, as these are key responsibilities in the Generative AI Associate role at Innodata Inc.

• Apply through multiple platforms including Innodata's corporate careers page and LinkedIn to maximize your chances of being noticed for this flexible independent contractor position.

• Connect with current employees or contributors in Innodata's AI or data engineering divisions on LinkedIn; use ice breakers like commenting on recent AI projects or expressing your enthusiasm for contributing to AI development and LLMs.

• Optimize your resume for ATS by incorporating keywords from the job description such as 'generative AI,' 'annotation labeling,' 'content quality evaluation,' 'data augmentation,' and 'independent contractor.'

• Jennie Johnson's Power Apply feature can automate tailoring your resume, find multiple application portals, and identify LinkedIn contacts to network with, allowing you to focus more on preparing for interviews and skill-building.