OVA.Work logo
OVA.Work
Posted 82 days agoVerified live 1d ago

AI Operations Associate

Brief overview

New York, NYHybrid
UndergradOr in progress

About the company

OVA.Work logo
OVA.Workova.work

OVA is the most advanced Automated, Intelligent, intuitive On-boarding platform for Staffing Firms of all sizes.

Job description

Summary

OVA.Work is seeking a detail-oriented AI Operations Associate to support day-to-day operations of AI and machine learning initiatives. The role involves managing AI workflows, monitoring system performance, and ensuring data quality while collaborating with cross-functional teams.

Responsibilities

  • Support the operational management of AI and machine learning applications
  • Monitor AI workflows, model performance, and operational dashboards to ensure system reliability
  • Assist with data collection, validation, labeling, and quality assurance activities
  • Coordinate AI model deployment, updates, and routine operational tasks with engineering teams
  • Track, investigate, and escalate operational issues affecting AI systems
  • Prepare reports, dashboards, and operational metrics related to AI performance and usage
  • Maintain documentation, standard operating procedures (SOPs), and knowledge base articles
  • Collaborate with cross-functional teams to improve AI processes and operational efficiency
  • Assist in user acceptance testing (UAT) and validation of AI-powered applications
  • Stay informed about AI tools, automation technologies, and operational best practices

Skills

  • Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Business Analytics, or a related field
  • 0–2 years of experience in operations, technical support, data operations, business operations, or a related role (internships are welcome)
  • Basic understanding of Artificial Intelligence and Machine Learning concepts
  • Proficiency in Microsoft Excel or Google Sheets for data analysis and reporting
  • Basic knowledge of SQL for querying and validating data
  • Familiarity with Python is an advantage
  • Strong analytical and organizational skills
  • Excellent written and verbal communication skills
  • Exposure to Generative AI, Large Language Models (LLMs), or AI automation tools
  • Familiarity with project management and collaboration tools such as Jira, Confluence, Trello, or Asana
  • Basic understanding of cloud platforms such as AWS, Azure, or Google Cloud
  • Experience with dashboards and reporting tools such as Power BI, Tableau, or Looker
  • Knowledge of data annotation or quality assurance processes
  • Internship or academic projects involving AI, analytics, or automation

Qualifications

Must Haves

  • Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Business Analytics, or a related field
  • 0–2 years of experience in operations, technical support, data operations, business operations, or a related role (internships are welcome)
  • Basic understanding of Artificial Intelligence and Machine Learning concepts
  • Proficiency in Microsoft Excel or Google Sheets for data analysis and reporting
  • Basic knowledge of SQL for querying and validating data
  • Familiarity with Python is an advantage
  • Strong analytical and organizational skills
  • Excellent written and verbal communication skills

Nice to Haves

  • Exposure to Generative AI, Large Language Models (LLMs), or AI automation tools
  • Familiarity with project management and collaboration tools such as Jira, Confluence, Trello, or Asana
  • Basic understanding of cloud platforms such as AWS, Azure, or Google Cloud
  • Experience with dashboards and reporting tools such as Power BI, Tableau, or Looker
  • Knowledge of data annotation or quality assurance processes
  • Internship or academic projects involving AI, analytics, or automation

Benefits

  • Competitive salary and performance-based incentives.
  • Health and wellness benefits.
  • Learning and certification opportunities.
  • Mentorship from AI and data professionals.
  • Flexible work arrangements.
  • Opportunity to contribute to AI-driven products and operational excellence in a collaborative environment.