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Text Annotation Job Jobs (NOW HIRING)

Congensys Corp.

Lead Data Scientist

Woodlawn, MD · On-site

... text annotation tools and semantic frameworks. • Ability to clean and process large amounts of real-world data. • Experience retrieving and manipulating data from a variety of data sources ...

New

Propio

AI Engineer

Leawood, KS · On-site

$111K - $133K/yr

... text, speech, and multimodal experiences. Propio is hiring an AI Data Strategy Engineer / Applied Scientist, LLM Data to own the data strategy, curation pipelines, annotation workflows, and ...

RWS Group

Data Annotator for AI Models (Italian)

$56 - $72.75/hr

RWS Group is looking for USA-based Italian Data Annotators to annotate, evaluate and curate text ... Preferred : • Familiarity with the Appen Annotation Platform (ADAP) and machine learning ...

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Senior Data Scientist

Omm IT Solutions

Ellicott City, MD • On-site

Full-time

Re-posted 10 days ago

Job description


PLEASE NOTE:
  • It is a 100% onsite position.
  • Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week
  • Selected candidate must be able to obtain and maintain a public trust clearance.

KEY REQUIRED SKILLS:
  • Solid Experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy.
  • Experience with Generative AI and Large Language Models (LLM)
  • Excellent Communication skills

POSITION DESCRIPTIONS:
  • Hands on experience in Python, NLP frameworks, SQL, Pandas, NLTK, SPACy and LLMs
  • Well versed in SQL and analyzing trends and transactional data.
  • Understand real world challenges and develop automated data solutions
  • Develop, test, and deploy new techniques for NLP understanding
  • Scalable development/deployment of ML and Generative AI approaches (such as Large Language Models (LLMs)
  • Train and optimize NLP/LLM models and create Python based pipelines
  • Experience building cloud native solutions on AWS
  • Determine the nature of analytic problems, evaluate options, and offer recommendations for resolution.
  • Advise on the methods and data needed and/or available to evaluate the (intelligence or data) problem.
  • Collaborate with data collectors and analysts to identify and close gaps on complex monitoring problems.
  • Provide accurate, timely, complex, and sophisticated data analysis.

Requirements
SKILL REQUIREMENTS:
BASIC QUALIFICATION:
  • Master's and 10+ years of experience, Bachelor's and 12+ years of experience or 18+ years in lieu of a degree
  • Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with industry experience on Python, NLP frameworks, SQL, Pandas, NLTK and SPACy, data science, and AI/ML/LLM engineering.
  • Overall 10+ years' experience in IT industry

REQUIRED SKILLS:
  • Solid Experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy.
  • Experience with Generative AI and Large Language Models (LLM)
  • Evidence of true self-starter and operating independently.
  • Fluency in Python Programming, version control and collaboration with GIT, standard Python packages (ex. Pandas, numpy, matplotlib) and ML frameworks
  • Knowledge of TensorFlow, PyTorch, Pandas, scikit-learn, NLTK, Azure ML (optional), Amazon Web Services EC2.
  • Experience with scalable data engineering frameworks such as Apache Spark and orchestration frameworks such as Airflow, and/or experience with semantic search.
  • Expert knowledge in conducting data analysis and applying advanced statistical concepts and ML methods to build, train, test, and evaluate a variety of supervised and unsupervised analytic models.
  • Experience with ML model deployment and operations like DevOps, MLOps, LLMOps.
  • Experience with NLP and Generative AI libraries like regular expressions (e.g., spacy, langchain), text annotation tools and semantic frameworks.
  • Ability to clean and process large amounts of real-world data.
  • Experience retrieving and manipulating data from a variety of data sources included DB2, Oracle, SQL Server, Hadoop and flat files.
  • Excellent Communication skills.
  • Experience with database management systems (e.g., PostgresSQL, MySQL, SQLite, SQL, etc.)
  • Excellent analytical skills to identify potential risks and propose effective solutions.
  • Excellent problem-solving skills, ability to collaborate with cross-functional teams and proven communication in written and verbal formats to various audiences to include executive leadership.

DESIRED SKILLS:
  • Prior experience with federal or state governments IT projects.
  • Industry experience preferred
  • Experience with, or the ability and willingness to learn distributed processing via the Hadoop ecosystem, i.e., Spark, Impala and Hive.
  • Experience working in an analytical research environment.
  • Experience in parallel processing such as GPU programming with CUDA
  • Experience with Mathematica
  • Experience using markup languages such as LaTeX, HTML, etc.
  • Experience with Natural Language Processing for anomaly detection

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