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

10 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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