2

No Experience Machine Learning Data Annotation Jobs in Cambridge, MA

Machine Learning Engineer

Woburn, MA · On-site

$115K - $140K/yr

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... Experience in applying AI/ML methods to real-world data science problems, especially in settings ...

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... Experience in applying AI/ML methods to real-world data science problems, especially in settings ...

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... Experience in applying AI/ML methods to real-world data science problems, especially in settings ...

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... Experience in applying AI/ML methods to real-world data science problems, especially in settings ...

Senior Machine Learning Engineer

Boston, MA · On-site

$113K - $155K/yr

Hands-on experience managing the full machine learning lifecycle, from data preparation and feature engineering to deployment and monitoring. * Expertise in Python, along with experience in ...

Data Pipeline Engineering : Optimize robust data loading pipelines that maximize training ... Experience optimizing machine learning model execution during training and inference, alongside a ...

... do - no prior hardware experience required. What You'll Do: * Deploy and run trained models on ... PhD in machine learning, representation learning, theory of computation, or a related field - or ...

Showing results 21-40

No Experience Machine Learning Data Annotation information

See Cambridge, MA salary details

$41K

$134.2K

$214.8K

How much do no experience machine learning data annotation jobs pay per year?

As of Aug 5, 2026, the average yearly pay for no experience machine learning data annotation in Cambridge, MA is $134,150.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $148,600.00 per year, depending on experience, location, and employer.

What should I expect when collaborating with machine learning engineers as a data annotator with no prior experience?

As a data annotator working alongside machine learning engineers, you will play a vital role in preparing high-quality labeled data for model training. Engineers often provide clear guidelines and feedback on how to label or categorize data accurately, and they may hold regular check-ins to address questions and ensure consistency. While you may not need technical expertise, strong communication and attention to detail are essential, as your work directly impacts the performance of machine learning models. Over time, you’ll become familiar with annotation tools and may have the opportunity to take on more advanced tasks or quality assurance responsibilities.

What is a no experience machine learning data annotation job?

'No Experience Machine Learning Data Annotation' jobs are entry-level positions where individuals help label and categorize data used to train machine learning models. These roles do not require prior experience in data science or programming, making them accessible to beginners. Typical tasks may include tagging images, transcribing audio, or identifying objects in videos. These jobs are essential for improving the accuracy of AI systems and are often done remotely or on a flexible schedule.

What are the key skills and qualifications needed to thrive as a no experience machine learning data annotation specialist, and why are they important?

To succeed in a No Experience Machine Learning Data Annotation role, you need strong attention to detail, basic computer literacy, and the ability to follow precise instructions, often requiring at least a high school diploma. Familiarity with data labeling tools (like Labelbox or Supervisely) and experience with spreadsheet software are typically helpful, though many positions offer on-the-job training. Reliability, patience, and effective communication are valuable soft skills for maintaining quality and meeting deadlines. These skills ensure accurate, consistent data labeling, which is critical for training reliable machine learning models.

What is the difference between No Experience Machine Learning Data Annotation vs Data Labeling Specialist?

AspectNo Experience Machine Learning Data AnnotationData Labeling Specialist
Required CredentialsNo formal experience needed, training providedTypically similar, may require basic technical skills
Work EnvironmentRemote or office-based, repetitive tasksRemote or onsite, focused on data preparation
Industry UsageCommon in AI/ML companies, tech startupsUsed across tech, automotive, healthcare sectors
Search & Comparison IntentOften searched by beginners or entry-level job seekersCompared for skill requirements and job scope

Both roles involve labeling data for machine learning models, with minimal experience required. Data Labeling Specialists may have slightly more specialized tasks, but both are entry-level positions vital for AI development.

What job categories do people searching No Experience Machine Learning Data Annotation jobs in Cambridge, MA look for? The top searched job categories for No Experience Machine Learning Data Annotation jobs in Cambridge, MA are:
Infographic showing various No Experience Machine Learning Data Annotation job openings in Cambridge, MA as of July 2026, with employment types broken down into 23% Full Time, 4% Part Time, 67% Contract, and 6% Nights. Highlights an 4% Physical, and 96% Remote job distribution, with an average salary of $134,150 per year, or $64.5 per hour.

Machine Learning Engineer

STR

Woburn, MA • On-site

$115K - $140K/yr

Full-time

Posted 7 days ago


Job description

About the Team
STR's Intelligence Division researches and develops advanced analytics and machine learning-based solutions to solve challenging problems related to national security. Our team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data science, who are seeking opportunities to use their deep technical knowledge and creativity to tackle some of the hardest problems that our customers face. Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured text, time series, geospatial, and imagery data, and must operate under challenging constraints not typically found in the commercial world. The tools and technologies we develop have real world impact and US Government analysts and operators use them to enable intelligence activities around the globe.
The Role
As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML models into production systems that solve critical national security problems.
Working as part of a multidisciplinary team of researchers, engineers, and domain experts, you will analyze interesting and challenging datasets to develop, implement, and evaluate AI/ML models to discover trends and form valuable intelligence insights. You will help bridge the gap between prototype and product by hardening solutions, building scalable backend services, and creating polished user interfaces with intuitive workflows. You will build software with AI/ML at its core, ranging from classical statistical methods to frontier language models, deployed across a diverse set of platforms including cloud, on-prem, desktop, mobile, and edge devices. In addition, you will collaborate closely with customers to understand mission needs, rapidly prototype capabilities, and iterate based on user feedback.
This position can be based in Woburn, MA; or Arlington, VA. Applicants should expect to primarily work onsite.
What you will do:
  • Investigate and analyze large and interesting data sets to identify and expose hidden patterns and trends
  • Develop and apply novel AI/ML models to automatically derive valuable insights for defense and intelligence analysts
  • Collaborate with diverse teams to develop and deploy cutting-edge capabilities into production systems
  • Support the engineering of robust backend services, scalable APIs, and intuitive user interfaces

Who you are:
  • Active Secret Security Clearance with SCI Eligibility, for which U.S citizenship is needed by the U.S government
  • Hold a B.S. or M.S. in Statistics, Data Science, Applied Mathematics, Computer Science, Electrical Engineering, or other related discipline
  • Experience in applying AI/ML methods to real-world data science problems, especially in settings where data is sparse, noisy, and/or high dimensional
  • Experience deploying AI/ML models and constructing analytics pipelines using modern Python-based frameworks
  • Familiarity with creating data visualizations and user interfaces or dashboards
  • Proficient with Python and the traditional data science and machine learning stack, namely NumPy, Pandas, scikit-learn, PyTorch, and matplotlib
  • Proficient with version control software (Git), JIRA, Confluence, or other common collaboration tools
  • Demonstrated ability to collaborate effectively within cross-functional teams and communicate with customers and end users

Even better:
  • Active Top Secret (TS) Security Clearance
  • Solid understanding of software engineering principles, including testing, scalability, observability, maintainability, and performance optimization
  • Experience working with large datasets (> 100 GB) and familiarity with big data infrastructure and frameworks such as AWS, Hadoop, Spark, Dask, or MapReduce
  • Possession of an advanced degree in a scientific field and 2+ years of relevant experience after Bachelor's degree (work or post-graduate)
  • Experience in intelligence and military-related mission areas

Pay Information
Full-Time Salary Range: $115,000 - $140,000
The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.
STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us.
STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer.
STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info.
STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws.
If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info.
Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.