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AI Data Project Specialist (One-Year Contract)

Hiring from
Hong Kong
Work type
Hybrid
Posted

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About the Role

As an AI Data Project Specialist, you will join an energetic team and support our AI Data Project Managers in delivering the data projects that power our AI products and enable customer success, including helping to manage part-time teams and vendors. You will also partner with our Customer Success and BD teams to provide second-line support from a data perspective.

You take strong ownership of and accountability for your work, are detail-oriented, and have a good command of English along with good communication and problem-solving skills.

In return, you will enjoy exceptional opportunities for growth.


Key Responsibilities

Data Project and Operations Management (with the Data Team, Part-Time Teams, and Vendors):

  1. Work with AI Data Project Managers to deliver data labelling and collection projects with high quality, on time, and within budget.
  2. Conduct hands-on quality checks to ensure data reviewed by our Quality Assurance (QA) team meets the target accuracy rate.
  3. Recruit part-time teams and source vendors for data labelling and collection projects.
  4. Train part-time teams and vendors on data labelling rules and the use of our labelling software.


Data Support for Customer Projects and Sales (with the Customer Success, BD, Research, and Data Teams):

  1. Partner with the Customer Success and BD teams to provide second-line support from a data perspective, helping to enhance our AI models to meet customer needs. Where needed, this involves:
  • Supporting first-line analysis by jointly investigating customer feedback and giving advice based on your knowledge of our data.
  • Discussing findings with the Research team, together with the Customer Success and BD teams, in order to identify the information we need to request from customers for model enhancement.


Please use "AD_" as the prefix in your resume's filename. For example, if your resume's filename is "Resume_First Name Surname", please modify it to "AD_Resume_First Name Surname".


Qualifications

  1. Bachelor’s degree or above.
  2. At least 1 year of work experience, preferably in the technology industry. Experience in data sourcing or data annotation for speech recognition is a plus.
  3. Good written and spoken English; proficiency in other languages is a plus.
  4. Strong ownership and delivering results: taking responsibility for tasks and outcomes, reliably meeting commitments, and consistently achieving goals and objectives.
  5. Good communication skills.
  6. Good problem-solving skills.
  7. Detail-oriented and committed to quality: delivering data projects to the highest standard.
  8. Integrity: upholding ethical principles and honesty in all actions.
  9. Quick learner who is open to new concepts and technologies.
  10. Self-motivated, with a growth mindset and a willingness to take on new responsibilities.
  11. Good prioritisation skills and the ability to multitask effectively.
  12. Able to work effectively in a fast-paced, dynamic environment.
  13. Willing to work at client sites as needed.


What We Offer

  1. Exceptional growth opportunities in a fast-growing B2B AI software company.
  2. Flexible working hours.
  3. Hybrid work arrangement (in-office and work-from-home).
  4. Competitive compensation package.
  5. Learning budget for work-related courses and professional development.
  6. Customer-centric, agile, results-driven, and open culture.
  7. Transparency, trust, and ownership.


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