Innodata Inc.

Innodata solves your toughest data engineering challenges using artificial intelligence and human expertise.

Language Data Scientist

Full TimeRemoteTeam 1,001-5,000H1B No SponsorCompany SiteLinkedIn

Location

Alabama + 35 moreAll locations: Alabama, Alaska, California, Colorado, Florida, Hawaii, Idaho, Illinois, Iowa, Kansas, Kentucky, Louisiana, Maine, Montana, Nebraska, Nevada, New Jersey, New York, North Carolina, Ohio, Oklahoma, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Virginia, Washington, West Virginia, Wisconsin

Posted

5 hours ago

Salary

$85K - $95K / year

Postgraduate Degree2 yrs expEnglishPython

Job Description

• Design/improve workflows to create data for AI/ML training and evaluation • Dive deep into existing workflows and processes to gather data and insights • Critically assess annotation tooling and workflows • Quantitatively analyze large datasets, perform statistical analysis, calculate metrics, and make recommendations to improve accuracy and performance • Work closely with client stakeholders on understanding goals, gathering requirements, proposing solutions and executing them.

Job Requirements

  • MA in (computational) linguistics, data science, computer science (AI / ML / NLU), quantitative social sciences, or a related scientific/quantitative field, PhD strongly preferred
  • Familiarity with language use in online spaces, in particular language trends and innovations
  • Extensive experience working with human language data and designing human evaluation tasks, including multi-phase and complex workflows
  • Advanced knowledge of statistics, metrics (e.g. f1 score, inter-rater reliability metrics), and data analysis methods such as sampling
  • Experience with Natural Language Processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face
  • Proficiency in Python to handle / transform large datasets, perform quantitative analyses, visualize data

Benefits

  • Health insurance
  • 401(k) matching
  • Flexible work arrangements
  • Paid time off
  • Professional development opportunities

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