ZipRecruiter

Log In

2

No Experience Machine Learning Data Annotation Jobs in Massachusetts

DraftKings

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 ...

Instacart

Instacart is a Flex First team There's no one-size fits all approach to how we do our best work ... self study and experience * Have strong programming skills in Python and fluency in data ...

New

Instacart

Instacart is a Flex First team There's no one-size fits all approach to how we do our best work ... self study and experience * Have strong programming skills in Python and fluency in data ...

Posted today

Motional

Machine Learning Systems Engineer

Boston, MA · On-site +1

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

Manulife

Senior Machine Learning Engineer

Boston, MA · Hybrid

$107K - $199K/yr

Senior Machine Learning Engineer Job Duties: Design and implement image processing solutions to ... data needs. * 1 year of experience using cloud data practices. The role being advertised is an ...

Ayo Semiconductor

Machine Learning Architect

Boston, MA · On-site

... 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 ...

next page

Showing results 1-20

All JobsMachine Learning Data Annotation JobsNo Experience Machine Learning Data Annotation JobsNo Experience Machine Learning Data Annotation Jobs in Massachusetts

No Experience Machine Learning Data Annotation information

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 are 'No Experience Machine Learning Data Annotation' jobs?

'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 are the most commonly searched types of Machine Learning Data Annotation jobs in Massachusetts? The most popular types of Machine Learning Data Annotation jobs in Massachusetts are:
What are popular job titles related to No Experience Machine Learning Data Annotation jobs in Massachusetts? For No Experience Machine Learning Data Annotation jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching No Experience Machine Learning Data Annotation jobs in Massachusetts look for? The top searched job categories for No Experience Machine Learning Data Annotation jobs in Massachusetts are:
What cities in Massachusetts are hiring for No Experience Machine Learning Data Annotation jobs? Cities in Massachusetts with the most No Experience Machine Learning Data Annotation job openings:
No Experience Machine Learning Data Annotation jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

DraftKings

Boston, MA • On-site

$113K - $155K/yr

Full-time

Re-posted 14 days ago

DraftKings rating

8.4

Company rating: 8.4 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

3rd of 15 rated gambling companies

Job description

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.

The Crown Is Yours

As a Senior Machine Learning Engineer, you'll join a team of algorithm experts and data science technologists building innovative data products that solve analytically complex challenges across the business. You'll turn cutting-edge machine learning research into scalable, production-ready systems that power critical decisions and customer experiences. Working at the intersection of data, engineering, and experimentation, you'll shape high-impact solutions from concept to deployment while influencing best practices across the organization.

What you'll do as a Senior Machine Learning Engineer

  • Design and refine scalable pipelines for training, evaluating, and deploying machine learning models across diverse use cases.

  • Build rigorous testing and statistical validation frameworks to measure model performance and ensure reliability in production.

  • Optimize models for production readiness, improving computational efficiency, latency, and resource utilization.

  • Implement real-time monitoring systems to detect data drift, model decay, and performance degradation, proactively maintaining model accuracy.

  • Partner with cross-functional teammates to design, build, and deploy end-to-end machine learning applications that scale with business growth.

  • Champion machine learning best practices, including responsible and ethical AI development, documentation, and reproducibility.

  • Identify and lead technical initiatives that elevate platform capabilities and advance the team's machine learning standards.

What you'll bring

  • At least 3 years of software engineering experience designing, building, and operating machine learning and artificial intelligence systems in production environments.

  • A strong foundation in machine learning and statistics, with proven experience applying them to solve complex, real-world problems.

  • 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 additional languages or tools that support scalable machine learning systems.

  • Experience working with modern platform and infrastructure technologies such as Databricks, Kubernetes, and Terraform.

  • Strong communication and leadership skills, with the ability to influence stakeholders and collaborate effectively across teams.

  • A passion for mentoring teammates, sharing knowledge, and fostering technical growth within the team.

  • The ability to work autonomously, proactively identifying opportunities and driving technical improvements from idea to execution.

Join Our Team

We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role.

The US base salary range for this full-time position is 134,400.00 USD - 168,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

What DraftKings employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply