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Data Annotation Program Manager Jobs in New York

Smarsh

Lead Data Scientist

New York, NY

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Data annotation and quality review * Exploratory data analysis and model fail state analysis

Smarsh

Lead Data Scientist

New York, NY · On-site +1

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Data annotation and quality review * Exploratory data analysis and model fail state analysis

Monte Nido & Affiliates, LLC

Program Manager

West Nyack, NY · On-site

$66K - $75K/yr

Program Manager Monte Nido Clementine West Nyack West Nyack, NY Motne Nido Clementine West Nyack is ... Gather data, organize data, schedule and conduct quarterly mandated meetings for Joint Commission ...

Monte Nido & Affiliates, LLC

Program Manager

New City, NY · On-site

$66K - $75K/yr

Program Manager Monte Nido Rockland New City, NY Monte Nido Rockland, located in New City, NY is a ... Gather data, organize data, schedule and conduct quarterly mandated meetings for Joint Commission ...

Monte Nido & Affiliates, LLC

Program Manager

West Nyack, NY · On-site

$66K - $75K/yr

Program Manager Monte Nido Clementine West Nyack West Nyack, NY Motne Nido Clementine West Nyack is ... Gather data, organize data, schedule and conduct quarterly mandated meetings for Joint Commission ...

Monte Nido & Affiliates, LLC

Program Manager

New City, NY · On-site

$66K - $75K/yr

Program Manager Monte Nido Rockland New City, NY Monte Nido Rockland, located in New City, NY is a ... Gather data, organize data, schedule and conduct quarterly mandated meetings for Joint Commission ...

Curtiss-Wright

Program Manager

East Farmingdale, NY · On-site

$150K - $170K/yr

Program Manager We are looking for a Program Manager to join our Target Rock Team! As a Program ... Strong analytical and problem-solving skills, with the ability to interpret data and make informed ...

Monte Nido & Affiliates, LLC

Program Manager

New City, NY · On-site

$66K - $75K/yr

Program Manager Monte Nido Rockland New City, NY Monte Nido Rockland, located in New City, NY is a ... Gather data, organize data, schedule and conduct quarterly mandated meetings for Joint Commission ...

Curtisswright

Program Manager

East Farmingdale, NY

$150K - $170K/yr

Program Manager We are looking for a Program Manager to join our Target Rock Team! As a Program ... Strong analytical and problem-solving skills, with the ability to interpret data and make informed ...

InfiCare

Program Manager

Manhattan, NY · On-site

Role: Program Manager Location: NY (onsite--Local candidate only) Note: Familiarity with the ... All of these are built upon a robust data technology framework that emphasizes data governance and ...

New

NiCE

Program Manager

Hoboken, NJ · On-site

The Program Manager of GTM Operations & Business Insights leads cross-functional programs to build scalable systems and reporting infrastructures, enabling data-driven decision-making across the ...

Inficare Technologies

Program Manager

Manhattan, NY · On-site

Role: Program Manager Location: NY (onsite) Note: Familiarity with the Customer Marketing ... All of these are built upon a robust data technology framework that emphasizes data governance and ...

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Data Annotation Program Manager information

What are the key skills and qualifications needed to thrive as a Data Annotation Program Manager, and why are they important?

To thrive as a Data Annotation Program Manager, you need expertise in project management, data quality assessment, and a solid understanding of machine learning or data annotation processes, typically supported by a relevant degree. Familiarity with annotation platforms, workflow management tools, and data labeling software is essential, along with knowledge of quality assurance frameworks. Strong leadership, problem-solving abilities, and effective communication are crucial soft skills that help manage diverse teams and ensure stakeholder alignment. These skills are important to maintain high data quality, meet project deadlines, and drive successful AI model training initiatives.

How does a Data Annotation Program Manager coordinate with cross-functional teams to ensure project success?

A Data Annotation Program Manager regularly collaborates with engineering, data science, and quality assurance teams to align annotation guidelines, project timelines, and quality standards. They often facilitate meetings to clarify requirements, resolve ambiguities in data labeling, and provide feedback on annotation accuracy. This role serves as a bridge between technical teams and annotation staff, ensuring open communication and timely resolution of challenges, which is critical for delivering high-quality datasets essential for machine learning and AI projects.

What are Data Annotation Program Managers?

Data Annotation Program Managers are professionals who oversee and coordinate data labeling projects, ensuring that data used for machine learning and artificial intelligence is accurately tagged and prepared. They manage teams of annotators, set project guidelines, monitor quality, and ensure deadlines are met. Their role is crucial for building high-quality datasets that enable reliable AI model training. Program Managers often collaborate with data scientists, engineers, and stakeholders to define requirements and improve annotation processes.
What are popular job titles related to Data Annotation Program Manager jobs in New York? For Data Annotation Program Manager jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Annotation Program Manager jobs in New York look for? The top searched job categories for Data Annotation Program Manager jobs in New York are:
What cities in New York are hiring for Data Annotation Program Manager jobs? Cities in New York with the most Data Annotation Program Manager job openings:
Data Annotation Program Manager jobs near you
Lead Data Scientist

Lead Data Scientist

Smarsh

New York, NY

Full-time

Posted 12 days ago

Job description

Who are we?

Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines.  Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.

Summary
 
As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh, you will spearhead the development of state-of-the-art natural language processing (NLP) and large language model (LLM) solutions that power next-generation compliance and surveillance systems. You'll work on highly specialized problems at the intersection of natural language processing, communications intelligence, financial supervision, and regulatory compliance, where unstructured data from emails, chats, voice transcripts, and trade communications hold the keys to uncovering misconduct and risk.
 
The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of tools and platforms. This role demands both technical excellence in NLP modeling and a deep understanding of financial domain behavior-including insider trading, market manipulation, off-channel communications, MNPI, bribery, and other supervisory risk areas. The ideal candidate for this position will possess the ability to perform both independent and team-based research and generate insights from large data sets with a hands-on/can do attitude of servicing/managing day to day data requests and analysis.
 
This role also offers a unique opportunity to get exposure to many problems and solutions associated with taking machine learning and analytics research to production. On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to level up in true end-to-end data science proficiency.
How will you contribute?
  • Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the development of statistical methods / machine learning algorithms.
  • Lead the design, training, and deployment of NLP and transformer-based models for financial surveillance and supervisory use cases (e.g., misconduct detection, market abuse, trade manipulation, insider communication).
  • Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities
  • Data annotation and quality review 
  • Exploratory data analysis and model fail state analysis 
  • Contribute to model governance, documentation, and explainability frameworks aligned with internal and regulatory AI standards.
  • Client/prospect guidance in machine learning model and analytic fine-tuning/development processes
  • Provide guidance to junior team members on model development and EDA
  • Work with Product Manager(s) to intake project/product requirements and translate these to technical tasks within the team's tooling, technique and procedures
  • Continued self-led personal development
What will you bring?
  • Strong understanding of financial markets, compliance, surveillance, supervision, or regulatory technology
  • Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse
  • Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc...)
  • Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object-oriented programming)
  • Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc...)
  • Knowledge of NLP transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, HuggingFace, and GPT-x etc.)
  • Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo
  • Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes
  • Familiarity with Deep Learning techniques for NLP.
  • Familiarity with LLMs - using ollama & Langchain
  • Excellent verbal and written skills
  • Proven collaborator, thriving on teamwork
 
Preferred Qualifications
  • Master's or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field
  • Familiarity with cloud computing platforms (AWS, GCS, Azure)
  • Experience with automated supervision/surveillance/compliance tools
$166,000 - $214,000 a year
 
The above salary range represents Smarsh's good faith and reasonable estimate of the range of possible base compensation at the time of posting. Any applicable bonus programs will be discussed during the recruiting process.
 
The salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty and training.
 
Local cost of living assessments are done for each new hire at the time of offer.
About our culture

Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world's leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.
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