Operations Project Lead - Embodied AI Data Operations

We need to output HTML fragment with sections: About the Company, About the Role, What You’ll Do, What You’ll Bring (maybe split into Required qualifications and Preferred qualifications). Also Work Location & Eligibility maybe as a section? The instruction: Use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). They gave examples but we can use appropriate headings based on content. Must not repeat job title as heading. Must not include Job ID etc. Must preserve all substantive info. Remove boilerplate: Equal Opportunity Employer, accommodation request, share your resume? Actually "Share your resume: jobs@hrbs.com.pk" is application instruction, should be removed. Also "Equal Opportunity Employer" etc is boilerplate, remove. Also "Work Location & Eligibility" is substantive: location and work authorization. Should we include as a section? Possibly as a short

under a heading like "Work Location & Eligibility". The instruction says include a section ONLY when posting has real, specific content for it. So we can include Work Location & Eligibility as a section with

Work Location & Eligibility

and then a

with the location and eligibility. Must not include Pay, Schedule, Benefits unless present. Not present. So we omit those. We need to use

• for any list of duties/requirements/benefits. So for responsibilities (What You’ll Do) we need a list. For qualifications (What You’ll Bring) we need list for required and preferred maybe separate lists. Could also have two sub-sections: Required qualifications and Preferred qualifications each with
  . Or combine? Better to separate. We must not invent or summarize away detail. Must preserve all substantive info. So we need to include all bullet points from the posting. Let's extract content: About the Company: - We deliver high-quality data for AI and embodied intelligence. - Our teams run data collection, annotation, and quality assurance programs for customers building robotics, autonomous driving, and multimodal AI systems. - As we scale our delivery operations globally, we are looking for a leader who can turn complex, multi-team projects into predictable, high-quality results. About the Role: - As Operations Project Lead, you will own the outcomes of our international AI and embodied intelligence data delivery portfolio, including scope, quality, timeline, cost, and customer satisfaction. - You will lead and develop a team of project managers, build the processes and quality systems that let us deliver consistently at scale, and partner closely with customers, our algorithm, product, and engineering teams, and local vendors around the world. What You’ll Do: - Own end-to-end delivery - Own the results of the international operations delivery portfolio across scope, quality, cycle time, cost, and customer satisfaction. - Manage the full project lifecycle: requirements, solution design, execution, quality acceptance, and delivery. - Coordinate end-to-end delivery of AI and embodied intelligence data projects for international customers. - Manage multi-project priorities and resources from a portfolio perspective. - Lead and develop project managers - Manage and coach the project manager team so every project follows unified standards. - Assign work, set goals, track progress, and conduct performance evaluations. - Establish management routines: regular meetings, checkpoints, risk escalation, retrospectives, and dashboards. - Build scalable process and quality systems - Define standardized workflows for data projects, covering collection, annotation, quality inspection, data flow, compliance, and delivery. - Develop SOPs, checklists, templates, and retrospective practices. - Establish quality management mechanisms and track pass rate, rework rate, acceptance pass rate, and on-time delivery rate. - Partner across teams and vendors - Work with customers, internal algorithm, product, and engineering teams, and local vendors to keep projects aligned. - Manage vendors and on-site resources, including onboarding, training, and performance evaluation. - Improve project transparency and efficiency through dashboards, reports, and automation tools. What You’ll Bring: Required qualifications - Bachelor’s degree or above. - 5+ years of experience in project management, operations management, AI data operations, BPO, or international delivery, including at least 2 years managing a team. - Proven experience managing multiple projects or a project portfolio, and delivering end-to-end. - Working knowledge of AI data collection, annotation, quality inspection, and delivery processes. - Track record of standardizing processes: you can write SOPs and drive adoption. - Strong cross-team communication, resource coordination, and problem-solving skills. - Fluent English; comfortable leading meetings and writing clear documentation. - Proficiency with tools such as Excel, Google Sheets, Airtable, Notion, Jira, and Asana. Preferred qualifications - Experience with embodied intelligence, robotics, autonomous driving, multimodal data, or 3D data. - Experience with international project delivery and vendor management. - Familiarity with annotation platforms such as Label Studio, CVAT, Labelbox, Scale AI, and SuperAnnotate. - Familiarity with methodologies such as PDCA, RCA, DMAIC, and SLAs. - PMP, Scrum, or Six Sigma certification. Work Location & Eligibility - This role is based at our office in Palo Alto, CA 94301. - Candidates must be legally authorized to work in the United States. We must not include Equal Opportunity Employer etc. Also remove "Share your resume: jobs@hrbs.com.pk". Also remove any duplicated lines. Now produce HTML fragment. We need headings: About the Company, About the Role, What You’ll Do, What You’ll Bring (maybe split into Required qualifications and Preferred qualifications as subheadings? The instruction says use

  for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we could have

  About the Company

  ,

  About the Role

  ,

  What You’ll Do

  ,

  What You’ll Bring

  (or maybe separate Required and Preferred as

  ? But only

  allowed for section headings; we could still use

  for each major section and inside use

  or

  . For required vs preferred we could have two
  with a preceding

  stating "Required qualifications:" and "Preferred qualifications:" but that might be considered filler? Better to have subheadings using

  ? Not allowed? The instruction only says use

  for section headings; doesn't forbid other headings, but to be safe we can use

  for each major section and inside use

  with bold text? But we must not invent or summarize away detail. We can include a

  Required qualifications:

  then

  . That preserves detail. Similarly for Work Location & Eligibility as a section. Thus sections: About the Company, About the Role, What You’ll Do, What You’ll Bring, Work Location & Eligibility. Now produce HTML. Check for any boilerplate: "Equal Opportunity Employer" etc removed. Also "If you need an accommodation during the application process, please let us know." removed. Also "Share your resume: jobs@hrbs.com.pk" removed. Now output only HTML fragment. Let's craft:

  About the Company

  We deliver high-quality data for AI and embodied intelligence. Our teams run data collection, annotation, and quality assurance programs for customers building robotics, autonomous driving, and multimodal AI systems. As we scale our delivery operations globally, we are looking for a leader who can turn complex, multi-team projects into predictable, high-quality results.

  About the Role

  As Operations Project Lead, you will own the outcomes of our international AI and embodied intelligence data delivery portfolio, including scope, quality, timeline, cost, and customer satisfaction. You will lead and develop a team of project managers, build the processes and quality systems that let us deliver consistently at scale, and partner closely with customers, our algorithm, product, and engineering teams, and local vendors around the world.

  What You’ll Do

  • Own end-to-end delivery
    • Own the results of the international operations delivery portfolio across scope, quality, cycle time, cost, and customer satisfaction.
    • Manage the full project lifecycle: requirements, solution design, execution, quality acceptance, and delivery.
    • Coordinate end-to-end delivery of AI and embodied intelligence data projects for international customers.
    • Manage multi-project priorities and resources from a portfolio perspective.
  • Lead and develop project managers
    • Manage and coach the project manager team so every project follows unified standards.
    • Assign work, set goals, track progress, and conduct performance evaluations.
    • Establish management routines: regular meetings, checkpoints, risk escalation, retrospectives, and dashboards.
  • Build scalable process and quality systems
    • Define standardized workflows for data projects, covering collection, annotation, quality inspection, data flow, compliance, and delivery.
    • Develop SOPs, checklists, templates, and retrospective practices.
    • Establish quality management mechanisms and track pass rate, rework rate, acceptance pass rate, and on-time delivery rate.
  • Partner across teams and vendors
    • Work with customers, internal algorithm, product, and engineering teams, and local vendors to keep projects aligned.
    • Manage vendors and on-site resources, including onboarding, training, and performance evaluation.
    • Improve project transparency and efficiency through dashboards, reports, and automation tools.
  But note: The instruction says use
  • for any list of duties/requirements/benefits. The above uses nested lists; that's okay but we must ensure we use
    • for each list item. The nested lists are still
      • . That's fine. Alternatively we could flatten but it's okay. Now

        What You’ll Bring

        Required qualifications:

        • Bachelor’s degree or above.
        • 5+ years of experience in project management, operations management, AI data operations, BPO, or international delivery, including at least 2 years managing a team.
        • Proven experience managing multiple projects or a project portfolio, and delivering end-to-end.
        • Working knowledge of AI data collection, annotation, quality inspection, and delivery processes.
        • Track record of standardizing processes: you can write SOPs and drive adoption.
        • Strong cross-team communication, resource coordination, and problem-solving skills.
        • Fluent English; comfortable leading meetings and writing clear documentation.
        • Proficiency with tools such as Excel, Google Sheets, Airtable, Notion, Jira, and Asana.

        Preferred qualifications:

        • Experience with embodied intelligence, robotics, autonomous driving, multimodal data, or 3D data.
        • Experience with international project delivery and vendor management.
        • Familiarity with annotation platforms such as Label Studio, CVAT, Labelbox, Scale AI, and SuperAnnotate.
        • Familiarity with methodologies such as PDCA, RCA, DMAIC, and SLAs.
        • PMP, Scrum, or Six Sigma certification.
        Now Work Location & Eligibility:

        Work Location & Eligibility

        This role is based at our office in Palo Alto, CA 94301. Candidates must be legally authorized to work in the United States.

        Check we didn't miss any substantive info: The About the Company paragraph includes three sentences.