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Entry Level Data Labeling Analyst Jobs in Boston, MA

AgZen

Senior Data Scientist

Somerville, MA · On-site

Perform historical data analysis of spray applications by identifying patterns and analyzing the ... Define and implement scalable data quality measures across complex, multimodal data labeling ...

Agzen

Senior Data Scientist

Somerville, MA · On-site

$150 - $180/hr

Perform historical data analysis of spray applications by identifying patterns and analyzing the ... Define and implement scalable data quality measures across complex, multimodal data labeling ...

Precise - Int

Entry-Level Financial Analyst

Boston, MA · On-site

This is an Entry-Level position, but candidates with 1-2 years of experience will be considered ... Responsibilities • Mapping and analyzing quantitative data • Preparing management reports • ...

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Entry Level Data Labeling Analyst information

See Boston, MA salary details

$14

$35

$67

How much do entry level data labeling analyst jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for entry level data labeling analyst in Boston, MA is $35.77, according to ZipRecruiter salary data. Most workers in this role earn between $22.98 and $39.95 per hour, depending on experience, location, and employer.

What does an entry level data labeling analyst do?

As an Entry Level Data Labeling Analyst, your daily tasks will often include reviewing and categorizing images, text, audio, or video datasets according to specific guidelines. You will use specialized software tools to tag or annotate data, ensuring accuracy and consistency to help train machine learning models. Your attention to detail directly impacts the quality of AI systems, making your work essential for the success of data-driven projects. Collaboration with team leads and engineers is common, as they may provide feedback or clarify labeling requirements.

What are the key skills and qualifications needed to thrive as an entry level data labeling analyst?

To thrive as an Entry Level Data Labeling Analyst, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with data labeling platforms, spreadsheets, and annotation tools such as Labelbox or Supervisely is often required. Diligence, consistency, and the ability to follow instructions precisely are standout soft skills in this role. These competencies ensure the accurate and efficient preparation of high-quality labeled data, which is crucial for training reliable machine learning models.

What is an entry level data labeling analyst?

Entry Level Data Labeling Analysts are professionals who tag, categorize, or annotate data such as images, text, audio, or video to help train machine learning models. Their work is crucial in ensuring that artificial intelligence systems receive accurate and well-organized information for learning and prediction tasks. Typically, these analysts use specialized software tools to label data based on guidelines provided by data scientists or project leads. This role often requires attention to detail, consistency, and the ability to follow instructions closely. Entry level positions typically do not require advanced technical skills, making it a common starting point for those interested in AI and data science fields.
What are the most commonly searched types of Data Labeling Analyst jobs in Boston, MA? The most popular types of Data Labeling Analyst jobs in Boston, MA are:
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What cities near Boston, MA are hiring for Entry Level Data Labeling Analyst jobs? Cities near Boston, MA with the most Entry Level Data Labeling Analyst job openings:
Entry Level Data Labeling Analyst jobs near you
Infographic showing various Entry Level Data Labeling Analyst job openings in Boston, MA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $74,405 per year, or $35.8 per hour.

Senior Data Scientist - Data for Perception Machine Learning

Zoox

Boston, MA • On-site

$190K - $258K/yr

Full-time

Medical, Life, PTO

Re-posted 15 days ago

Job description

We are seeking an experienced and highly skilled data scientist to join the Perception Data and Labeling team.. The team is responsible for training and evaluation data powering the perception (vision, lidar, and other modalities) ML models at Zoox. The candidate will work alongside data ops partners, ML engineers, software developers, and data engineers to improve model performance through high quality human- and auto-labeled data.
In this role, you will:
  • Define and implement scalable data quality measures across complex, multimodal data labeling pipelines
  • Drive data-centric ML model improvements to achieve critical Zoox milestones
  • Support an org-wide data ontology and class structure for perception models
  • Determine trade-offs and integrations between human-labeled, human-in-the-loop, and zero-shot autolabeled data
  • Build metrics to quantify labeling throughput, capacity, and annotator/vendor quality
Qualifications:
  • Master's or PhD degree in a field relevant to autonomous driving (computer science, robotics) to the analysis of human data (computational neuroscience, cognitive science) or a related field
  • Proficient using data query languages (SQL and/or Spark/scala) to quickly build complex yet efficient data queries at scale and using Python to build production-quality code
  • Proficient in exploratory data analysis (EDA) and data visualization to understand and present trends and their implications for the business.
  • Background in statistical modeling and analysis; including experience making data-driven decisions that connect point and uncertainty estimates to business impact.
  • Experience with data-centric ML development and data curation
Bonus Qualifications:
  • Experience with experiment design and statistical comparisons (A/B testing, parametric/non-parametric statistics, etc.)
  • Experience with human data collection, including annotation task design
$190,000 - $258,000 a year
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
 
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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