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Weekend Ai Data Annotation Jobs in Massachusetts

Doist

Senior Data Operations Engineer

Boston, MA · On-site

$120 - $180/hr

About the Role Field AI is transforming how robots interact with the real world. Our R&D team, the ... Build and maintain annotation software and other internal data tooling. Data Collection ...

FieldAI

Senior Data Operations Engineer

Boston, MA

$110K - $140K/yr

About the Role Field AI is transforming how robots interact with the real world. Our R&D team, the ... Build and maintain annotation software and other internal data tooling. Data Collection ...

FieldAI

Senior Data Operations Engineer

Boston, MA · On-site

$110K - $140K/yr

About the Role Field AI is transforming how robots interact with the real world. Our R&D team, the ... Build and maintain annotation software and other internal data tooling. Data Collection ...

Medium

Senior Data Operations Engineer

Boston, MA · On-site

$110 - $140/hr

About the Role Field AI is transforming how robots interact with the real world. Our R&D team, the ... Build and maintain annotation software and other internal data tooling. Data Collection ...

FieldAI

Senior Data Operations Engineer

Boston, MA · On-site

$110K - $140K/yr

About the Role Field AI is transforming how robots interact with the real world. Our R&D team, the ... Build and maintain annotation software and other internal data tooling. Data Collection ...

FieldAI

Senior Data Operations Engineer

Boston, MA · On-site

$110 - $140/hr

About the Role Field AI is transforming how robots interact with the real world. Our R&D team, the ... Build and maintain annotation software and other internal data tooling. Data Collection ...

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Weekend Ai Data Annotation information

What is a Weekend AI Data Annotation specialist?

Weekend AI Data Annotators are professionals who label, categorize, and tag data—such as images, audio, or text—for use in training artificial intelligence models, specifically working on weekends. Their work ensures that machine learning algorithms receive high-quality, accurately labeled datasets for tasks like computer vision, natural language processing, or speech recognition. This role often involves using specialized annotation tools and following precise guidelines to maintain consistency and accuracy. Weekend annotators may work remotely or on-site, and their contributions are vital for improving AI system performance.

What skills and qualifications are needed to thrive as a Weekend AI Data Annotation specialist?

To thrive as a Weekend AI Data Annotation Specialist, you need attention to detail, strong analytical skills, and familiarity with data labeling processes, often supported by a high school diploma or post-secondary coursework in a technical field. Proficiency with annotation platforms like Labelbox, Supervisely, or internal company tools is typically required, along with basic knowledge of data privacy protocols. Reliability, time management, and effective communication are crucial soft skills for meeting project deadlines and collaborating with remote teams. These skills and qualities ensure the accuracy and efficiency of annotated datasets, which are essential for high-performing AI systems.

What are common challenges faced by Weekend AI Data Annotation specialists, and how can they be managed?

Weekend AI Data Annotation specialists often encounter challenges such as maintaining high attention to detail during repetitive tasks and managing productivity over long annotation sessions. Since the work is typically remote or semi-remote, self-motivation and effective time management are crucial to meet project deadlines. It's helpful to take regular breaks, communicate proactively with team leads when questions arise, and make use of any annotation guidelines or quality assurance feedback provided. Collaborating with teammates through chat platforms or project management tools can also enhance consistency and resolve uncertainties quickly.

What are the most commonly searched types of Ai Data Annotation jobs in Massachusetts?

The most popular types of Ai Data Annotation jobs in Massachusetts are:

What are popular job titles related to Weekend Ai Data Annotation jobs in Massachusetts?

For Weekend Ai Data Annotation jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Weekend Ai Data Annotation jobs in Massachusetts look for?

The top searched job categories for Weekend Ai Data Annotation jobs in Massachusetts are:

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Cities in Massachusetts with the most Weekend Ai Data Annotation job openings:

Weekend Ai Data Annotation jobs near you

Technical Program Manager - Data Operations Lead

Zoox

Boston, MA • On-site

$163K - $223K/yr

Full-time

Medical, Life, PTO

Re-posted 15 days ago

Job description

We are seeking an experienced and highly skilled operations leader 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 ML engineers, product owners, data engineers, and external partners to scope and deliver high-quality training and evaluation data to help the Zoox Perception AI team meet critical deadlines.
In this role, you will:
  • Translate and coalesce company-wide feature requirements into concrete and comprehensive data deliverables
  • Work collaboratively with AI teams, project management, and data annotation teams to manage the collection and labeling of training and evaluation data powering Zoox's AI perception stack.
  • Manage vendor allocation and budgeting in conjunction with the milestone and release timelines at Zoox.
  • Define and maintain clear tracking of outcomes, risk, and data quality to ensure transparency and accountability.

Qualifications:
  • Experience in Technical Program Management or Operations Strategy: 5+ years of experience managing complex, cross-functional programs within the technology, autonomous driving, or AI/ML sectors.
  • Perception & Sensor Domain Knowledge: Strong understanding of the machine learning development lifecycle (MLDL) and familiarity with autonomous vehicle sensor modalities (LiDAR, Radar, Camera, Thermal) and their respective data annotation requirements.
  • Strategic Capacity Planning: Demonstrated ability to translate high-level product roadmaps and engineering requirements into granular operational execution plans. Experience managing resource allocation and throughput for large-scale workflows.
  • Vendor Ecosystem Understanding: Experience overseeing large-scale vendor operations or managed service providers, specifically regarding quality, latency, and volume targets.
  • Data Literacy: Proficiency with SQL or Python/Pandas to query databases, analyze throughput metrics, and generate reports without needing engineering support.

$163,000 - $223,000 a year
Base Salary Range
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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