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Executive Data Labeler Jobs (NOW HIRING)

Cardinal Integrated

Data Scientist

Manhattan, NY · On-site

... executives. He/she should be a self-starter and team player, and should be able to support ... Process, analyze, and label various unstructured data sources from disparate systems (pdf, word ...

Enterprise

Enterprise Account Executive

Wausau, WI · Remote

It's called data labeling, and it's a process of real people giving meaning to the information they ... Executive, you will have a tremendous impact on the company. We're looking for somebody with ...

Southern Company

Manager, Data Security

Atlanta, GA · Hybrid

Positioned between executive strategy and technical execution, this role drives largescale ... Own data labeling policy and governance, including label taxonomy, usage standards, enforcement ...

Southern Company

Manager, Data Security

Atlanta, GA · Hybrid

Positioned between executive strategy and technical execution, this role drives largescale ... Own data labeling policy and governance, including label taxonomy, usage standards, enforcement ...

Troveo AI Inc

Account Executive

San Francisco, CA · On-site

Experience or familiarity with data licensing or data labeling is a strong plus. Location Based in ... Work directly with the CEO and leadership team on company-defining customer relationships. * Sell a ...

Prism Data

Lead Data Scientist

Manhattan, NY · On-site

Contribute analysis to thought leadership content delivered by Prism executives in white papers and ... Knowledge of data labeling/categorization, feature development and selection, model design and ...

Troveo AI Inc

Senior Account Executive

San Francisco, CA · On-site +1

We are hiring a Senior Account Executive to help us source and develop new business opportunities ... Strong preference for experience or familiarity with data licensing or data labeling. This role is ...

Prism Data

Lead Data Scientist

San Diego, CA · On-site

Contribute analysis to thought leadership content delivered by Prism executives in white papers and ... Knowledge of data labeling/categorization, feature development and selection, model design and ...

VDart

Lead Data Security Engineer

Suwanee, GA · On-site

Data Labeling * eDiscovery * Varonis * Zscaler CASB * DLP platforms * Data Governance Lifecycle ... Strong executive communication skills * Leadership and mentoring ability * Cross-functional ...

MetroStar

Sr. Data Engineer I (5346)

Albany, GA · On-site

$105K - $126K/yr

... who engage with senior level executives and provide subject matter expertise in security ... ETL, Data Labeling and Data Prep • Experience with Azure Data Factory, AWS Data Services ...

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

Data Scientist with 4 years of experience including experience in applied NLP, data labeling ... In accordance with Executive Order 14042 as a Federal Contractor Redhorse requires all U.S. new ...

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Executive Data Labeler information

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$49.5K

$76.2K

$107.5K

How much do executive data labeler jobs pay per year?

As of Jun 4, 2026, the average yearly pay for executive data labeler in the United States is $76,244.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $97,500.00 per year, depending on experience, location, and employer.

What is the difference between Executive Data Labeler vs Data Annotator?

AspectExecutive Data LabelerData Annotator
CredentialsHigh school diploma or equivalent; some roles prefer certifications in data managementHigh school diploma or equivalent; basic training often provided
Work EnvironmentOffice or remote; collaborative with data science teamsOffice or remote; focused on labeling data under supervision
Industry UsageUsed in AI/ML projects, data management teamsUsed in AI/ML data preparation, machine learning workflows
Search/Comparison IntentHigh overlap in data labeling tasks, with added responsibilities for quality control

Executive Data Labelers typically handle complex data labeling tasks with some oversight, often requiring additional skills or certifications. Data Annotators focus on basic labeling tasks, usually with less experience needed. Both roles are essential in AI/ML projects, but Executive Data Labelers often have more responsibilities and work closely with data science teams.

More about Executive Data Labeler jobs
What cities are hiring for Executive Data Labeler jobs? Cities with the most Executive Data Labeler job openings:
What are the most commonly searched types of Data Labeler jobs? The most popular types of Data Labeler jobs are:
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Executive Data Labeler jobs near you
Infographic showing various Executive Data Labeler job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $76,244 per year, or $36.7 per hour.
Data Scientist

Data Scientist

Cardinal Integrated

Manhattan, NY • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Scientist

The Data Scientist position is a hands-on role to execute on multiple data and advanced analytics initiatives managed by Data Management Office. We are looking for a data science practitioner to drive our data-driven decision-making process from business analysis, data exploratory analysis, machine learning model building, automation of actionable insights for sales and senior executives. He/she should be a self-starter and team player, and should be able to support activities with minimal supervision support.

Job Responsibilities:
  • Process, analyze, and label various unstructured data sources from disparate systems (pdf, word, etc); collaborate with various departments to ensure accurate and comprehensive data labeling.
  • Utilize OCR tools and methodologies to effectively extract data from image-based content
  • Implement advanced techniques for data cleaning, tokenization, stemming, and other text pre-processing methods for model fine-tuning.
  • Manage and enhance the existing LLMs to fit client's specific needs for unstructured data extraction from various input data sources.
  • Develop, implement and fine-tune/scale Client models to generate predictive and/or prescriptive analytics
  • Test and assess continuously the performance of the trained models on new and existing data, ensuring they meet the bank's requirements for accuracy and efficiency.
  • Implement strategies to overcome challenges related to limited data and lack of labeled datasets; techniques to artificially augment data or sourcing more representative samples.
  • Clearly communicate the findings, insights, and the capabilities of the models to senior executives and business stakeholders, ensuring that the outcomes align with the program objectives.
Experience and Skills Required:
  • Bachelor's degree in Computer Science or equivalent practical experience in Data Science, AI, or a related field.
  • Minimum of 3 years' hands-on experience in natural language processing or related fields.
  • Proficiency with prevalent NLP libraries and tools.
  • Experience in statistical programming languages such as Python, R & SQL
  • Understanding different types of Client algorithms (for e.g. supervised, unsupervised, etc.)
  • Demonstrated expertise with OCR tools and strategies, especially in data extraction from image-based sources.
  • Must have strong communication skills and suitable in teamwork environment
  • Proven ability to work in multidisciplinary teams and deliver within tight deadlines.
  • Bilingual (English and Mandarin, speaking and writing), is preferred, but not mandatory

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