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SuperAnnotate is a leading innovator in the field of artificial intelligence and large language models (LLMs). We specialize in providing cutting-edge LLM solutions to large enterprise clients, helping them leverage the power of AI to transform their businesses.
Technical Project / Operations Manager:
We are seeking an experienced Technical Project Manager to oversee and drive the execution of AI data projects. In this role, you will manage the entire lifecycle of data creation projects for enterprise clients, from initial client consultation through final delivery. This position combines technical expertise, meticulous attention to detail, client-facing skills, and superior project management capabilities.
You will act as the central point of contact for clients and internal teams, ensuring projects are well-defined, resources are optimized, and outputs meet the highest standards. The ideal candidate brings a solid technical background to effectively assess project needs, ensuring the right level of expertise is allocated while maintaining a deep focus on quality and deadlines.
Key Responsibilities:
Project Leadership:
Lead and manage AI data creation projects day-to-day, ensuring timely and successful delivery for enterprise clients.
Develop detailed project plans, including workflows, timelines, milestones, and resource allocation.
Monitor project scope, communicate changes, and ensure alignment with client expectations.
Client Collaboration:
Act as the primary point of contact for clients, maintaining strong relationships and providing regular updates.
Work with clients to define project requirements, expectations, and success metrics.
Team Coordination:
Collaborate with the hiring team to hire, onboard, and manage annotators to ensure they meet project-specific requirements.
Guide teams to ensure proper technical setup and workflow execution.
Communicate technical requirements and challenges effectively between annotators, clients, and internal teams.
Quality Assurance:
Conduct regular spot checks and quality reviews of output to ensure data meets client standards.
Implement processes to track and improve quality metrics.
Technical Expertise:
Understand project technical needs, leveraging knowledge of coding and querying languages (e.g., Python, SQL).
Assess and recommend the level of expertise required for specific tasks.
Process Optimization:
Continuously refine workflows and tools to enhance efficiency and deliver optimal outcomes.
Qualifications:
3-5 years in project management, preferably in AI, data annotation, or related fields.
Proven track record managing complex, client-facing projects in a fast-paced environment.
Preferred 2+ years of experience as a technical solutions or sales engineer in a tech environment or a customer-facing role within a Professional Services/Systems Engineering team.
Technical Skills:
Direct experience with coding and querying languages to conceptualize project requirements (e.g., Python, SQL).
Experience working with AI/ML workflows or data annotation platforms.
Soft Skills:
Exceptional organizational and detail-oriented mindset.
Strong analytical and problem-solving abilities.
Outstanding communication and interpersonal skills to manage client relationships and internal teams.
Education:
Bachelor’s degree in a technical field (e.g., Computer Science, Engineering, Data Science) or equivalent experience.
Preferred Qualifications
Experience managing large-scale AI/ML data creation projects.
Familiarity with data quality metrics and processes for AI training datasets.
Knowledge of large language models (LLMs) or other advanced AI technologies.
What We Offer
Competitive Compensation: Enjoy a competitive salary and potential performance-based incentives.
Remote Flexibility: Fully remote position with flexible working hours.
Professional Growth: Work with a dynamic team at the forefront of AI innovation, with opportunities to expand your expertise in AI and project management.
Collaborative Environment: Join a supportive team of experts dedicated to creating cutting-edge AI solutions.
Based on market data and other factors, the annual salary range for this position is $110,000-$140,000
Required profile
Experience
Level of experience:Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.