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Data Annotation For Ai Jobs in Union, NJ (NOW HIRING)

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Showing results 21-40

Data Annotation For Ai information

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are the key skills and qualifications needed to thrive as a data annotation specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.
What job categories do people searching Data Annotation For Ai jobs in Union, NJ look for? The top searched job categories for Data Annotation For Ai jobs in Union, NJ are:
What cities near Union, NJ are hiring for Data Annotation For Ai jobs? Cities near Union, NJ with the most Data Annotation For Ai job openings:

Data Annotation Specialist (contract)

Treeswift Inc

New York, NY • On-site

$25/hr

Contractor

Posted 6 days ago


Job description

About Treeswift
In the face of rising threats, increasing pressure on affordability, and unprecedented demand for power, Treeswift empowers energy companies to modernize their field work to meet the growth and challenges ahead.
We build physical AI for the field worker: whether on foot or in a vehicle, our technology is an ironman suit for engineers, linemen, and vegetation crews: same worker, same boots on the ground, now operating at 10x productivity. Our platform is powered by cutting edge hardware, sensors (LiDAR, camera, etc...), AI and software designed to revolutionize work in the toughest environments.
Since our first pilot with a utility in June 2024, we've grown fast, now working with three of the five largest utilities in the US. To date, our technology has enabled our customers to reduce wildfire risk, regulatory and outage risk from vegetation, avoid delays and cost overruns in new construction, and accelerate recovery from severe storms.
To tackle this challenge, we are bringing together a team of mission-driven experts with deep industry experience in robotics (Penn, Caltech, CMU) and enterprise software development (Palantir, Stripe, Oracle, MongoDB). We have raised funding from leading investors including Penny Pritzker's Inspired Capital.
We are headquartered in midtown Manhattan, with additional offices in San Francisco and Philadelphia.
Our growth is only accelerating. We're looking for deeply curious and highly ambitious people who want to have a real world impact. Come build the future of (field) work with us.
The Position:
As a Data Annotator at Treeswift, you'll play a crucial role in transforming raw sensor data into insights our utility customers rely on to keep the power on and communities safe. By meticulously analyzing and annotating 3D environments, you will directly influence the accuracy of the models that empower field crews to work smarter and faster. We're hiring for this role to scale our data operations as our technology sees rapid adoption across major US utilities.
What You'll Do:
  • Annotate 3D wire spans using our internal tools to generate high-quality datasets, with training provided to set you up for success.
  • Ensure data integrity by identifying, documenting, and reporting distortions, doubling, or classification errors within visualizations.
  • Partner with a cross-functional team of engineers, QA leads, and field technicians via Slack to streamline workflows and meet project goals.
  • Execute on critical project priorities to deliver accurate, actionable insights for utility infrastructure projects across the country, ensuring reliability in every deliverable.

Who You Are:
  • You have a sharp eye for detail and are comfortable working solo on focused, repetitive tasks with high accuracy
  • You are process-oriented, with experience in data entry, data processing, and maintaining detailed records
  • You are comfortable using computer systems and new software technologies effectively
  • You have strong attention to visual detail, with an ability to identify and flag subtle anomalies
  • You have familiarity with tools like Google Sheets or Airtable
  • You are dependable, capable of following through on deadlines with minimal oversight, and thrive in structured, project-based environments
  • No technical engineering background is required; we provide comprehensive training for the role
  • Ability to commute to our NYC office at least twice a week.

Bonus Points For:
  • Experience manipulating 3D environments or gaming is a plus
  • Exposure to utility, energy, or infrastructure industries
  • Creativity with an eye for where day-to-day workflow could be improved.
  • Doesn't get stuck when facing subjective decisions, and knows when to escalate thoughtfully.

What we offer:
  • A pay rate of $25 per hour with opportunity for overtime.
  • Bi-weekly pay scheduled
  • Project-based work, with steady volume for the rest of the year
  • Snacks, goodies, and team lunches provided twice a week to keep you fueled and connected with your colleagues.
What We Value
  • Mission first. We value team members who are focused on working towards the best outcomes for the customer and the business.
  • Curiosity. We are constantly learning - from each other and from our customers. We aren't afraid to learn we were wrong in the process and adapt our approach accordingly.
  • Owners mindset. If you see an opportunity for improvement, run with it. We believe that good ideas can come from anywhere, no matter your role.

The estimated compensation for this role is $25 per hour. Final compensation is determined by skills, experience, qualifications, and location, and does not include the value of any bonuses, benefits, or long-term incentives. This range is disclosed in compliance with the New York City Human Rights Law and applies to NYC-based roles. Compensation may vary for candidates located outside of New York City.
Treeswift is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable law.
If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs.