United States onlyThis position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Operations Manager in the United States.
This role offers the opportunity to lead and manage AI data projects for enterprise clients, ensuring high-quality, timely delivery across all stages of the project lifecycle. You will act as the primary point of contact between clients and internal teams, guiding technical workflows, resource allocation, and quality control. The position emphasizes both strategic oversight and hands-on execution, making it ideal for professionals who excel in project management, client relations, and technical operations. You will work in a fast-paced, innovative environment where optimizing processes, mentoring teams, and ensuring data quality are central to success. Exposure to AI/ML workflows, coding, and data annotation platforms will allow you to drive meaningful impact and enhance operational excellence.
Accountabilities
- Lead and manage AI data creation projects from initiation through delivery, ensuring client satisfaction and adherence to timelines.
- Develop and maintain detailed project plans, including workflows, milestones, and resource allocation.
- Monitor project scope, communicate updates, and align deliverables with client expectations.
- Hire, onboard, and manage annotators and technical teams to meet project-specific requirements.
- Guide teams in proper technical setup, workflow execution, and adherence to quality standards.
- Conduct regular quality reviews and spot checks to ensure data outputs meet client standards.
- Continuously refine workflows, tools, and processes to enhance operational efficiency and quality metrics.
- Serve as a bridge between clients, annotators, and internal teams to ensure clear communication of technical requirements and challenges.
Requirements
- 3–5 years managing complex, client-facing projects, preferably in AI, data annotation, or related fields.
- 2+ years in technical solutions, sales engineering, or customer-facing roles within Professional Services or Systems Engineering.
- Experience with coding and querying languages such as Python and SQL to define and manage project requirements.
- Solid understanding of AI/ML principles, workflows, and data annotation platforms.
- Strong organizational, analytical, and problem-solving skills.
- Excellent communication and interpersonal abilities to manage client relationships and internal teams.
- Bachelor’s degree in a technical field (Computer Science, Engineering, Data Science) or equivalent experience.
Nice to Have:
- Experience managing large-scale AI/ML data creation projects.
- Familiarity with AI training data quality metrics and improvement processes.
- Knowledge of large language models (LLMs) or other advanced AI technologies.
- Advanced coding skills in one or more programming languages.
Benefits
- Competitive annual salary range of $95,000–$145,000, with quarterly bonuses.
- Flexible work arrangements and remote work opportunities.
- Comprehensive health, dental, and vision insurance plans.
- Paid time off, holidays, and vacation policies.
- Opportunities to work on cutting-edge AI/ML projects with enterprise clients.
- Professional growth and learning opportunities within a fast-growing AI infrastructure environment.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Poland only
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