AI Data Lead: Datasets, Labeling & Mentorship

Kensho Technologies

Cambridge (MA)

On-site

USD 90,000 - 125,000

Full time

14 days+

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Benefits offered by this job

Medical, Dental, and Vision insurance
Unlimited Paid Time Off
26 weeks paid Parental Leave
401(k) plan with 6% matching
Tuition assistance up to $20,000
Dog-friendly office
Mentoring and learning opportunities

Job summary

Kensho Technologies in Cambridge, MA is seeking a Data Specialist to collaborate with Machine Learning engineers. This role entails planning data annotation projects, loading data, and analyzing datasets to ensure high quality outputs.

The ideal candidate should have over 2 years of experience with robust datasets, mentoring capabilities, and proficiency in Python. Flexible work arrangements are available, making this a great opportunity for those looking to balance productivity and engagement.

Qualifications

  • 2+ years of industry experience designing and maintaining robust datasets.
  • Experience mentoring and building a team.
  • Ability to collaborate with product and technical teams.
  • Detail-oriented with strong organizational skills.

Responsibilities

  • Collaborate with ML teams to plan data labeling projects.
  • Extract, transform, and load data for labeling.
  • Monitor and assist offshore data labelers.
  • Create and analyze final datasets for ML teams.

Skills

Data transformation and analysis (Python, Pandas, Numpy, Matplotlib)
Experience in designing and maintaining datasets
Mentoring and team-building experience
Collaborative mindset

Tools

Airflow
S3
SQLite
Labelbox

Job description

Kensho Technologies in Cambridge, MA is seeking a Data Specialist to collaborate with Machine Learning engineers. This role entails planning data annotation projects, loading data, and analyzing datasets to ensure high quality outputs.

The ideal candidate should have over 2 years of experience with robust datasets, mentoring capabilities, and proficiency in Python. Flexible work arrangements are available, making this a great opportunity for those looking to balance productivity and engagement.

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