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Data Annotation For Ai Jobs in Waterloo, NY (NOW HIRING)

Implement AI-powered testing frameworks and data-driven optimization * Configure predictive ... Develop data-driven frameworks for measuring brand impact on revenue * Create compelling ...

Senior Next.js Engineer

Hopewell, NY · On-site

$123K - $163K/yr

Use AI for predictive performance optimization Development Workflow & Infrastructure * Manage Nx ... Drive data-driven decisions with AI insights * Monitor frontend KPIs using predictive analytics

DevOps Solutions Engineer

Hopewell, NY · On-site

$53.25 - $73/hr

... data-driven . We embrace a hybrid work model , blending remote flexibility with in-person ... Use AI for predictive deployment analytics , reducing downtime and increasing reliability.

Carrier Voice Engineer

Victor, NY · On-site

$75K - $95K/yr

Analyze telecom data from CDRs, SIP logs, SBC telemetry, routing systems, firewalls, DNS, SIEM ... Experience with AI/ML, automation, scripting, or analytics used for fraud detection, anomaly ...

... and opportunities for continuous improvement. The position's primary focus is to develop and ... data mining capabilities and analysis techniques, especially through the implementation of a new AI ...

... AI as a core part of how we operate, not as a buzzword. Role Summary We're looking for an SEO ... What you're seeing in the data This Role Is Probably Not a Fit If... * You need detailed step-by ...

RN Med\/Surg 2W - FT D\/N - Equiliem

Geneva, NY · On-site

$2.0K - $2.7K/wk

... AI-generated text messages, standard text messages, and/or emails to share job opportunities ... Message frequency may vary for text messages. Message and data rates may apply. Carriers are not ...

... for every detail you need to make more informed decisions. Our field data collection teams are ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

RN Med/Surg 2W - FT D/N

Geneva, NY · On-site

$2.0K - $2.7K/wk

... AI-generated text messages, standard text messages, and/or emails to share job opportunities ... Message frequency may vary for text messages. Message and data rates may apply. Carriers are not ...

... for every detail you need to make more informed decisions. Our field data collection teams are ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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Data Annotation For Ai information

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 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 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 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 cities near Waterloo, NY are hiring for Data Annotation For Ai jobs?

Cities near Waterloo, NY with the most Data Annotation For Ai job openings:

Project Perseus | Speech & Voice AI Analyst - Czech Speakers

Farmington, NY • On-site


Welocalize
Translation Services • 1 - 5K employees

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

335th of 496 rated business services

People enjoy working here

Respectful managers

Good training


$26 - $28/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Job description

Data Labeling Analyst

Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.

This is a high-impact production role focused on building the datasets that power real-world AI systems. You'll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.

While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.

We're looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.

Project Details
  • Job Title: Data Labeling Analyst
  • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  • Pay Rate: $26 - $28/hour

Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.

What You'll Do

  • Execute high-volume data labeling and annotation tasks across speech and voice datasets
  • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
  • Work with audio and language data, including transcription, categorization, and tagging
  • Maintain strong throughput while meeting quality expectations
  • Escalate unclear or ambiguous cases appropriately
  • Adapt to evolving guidelines and workflows as systems and requirements change
  • Support baseline data production needs for AI training pipelines
  • Contribute to team calibrations and quality alignment sessions

What We're Looking For

  • Native-level fluency in Czech
  • Strong written communication skills and language fundamentals
  • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
  • Ability to follow detailed instructions and apply guidelines consistently
  • High attention to detail and ability to maintain accuracy in repetitive tasks
  • Comfort working in structured, process-driven environments
  • Ability to manage time effectively and maintain steady output
  • Willingness to ask questions and escalate when needed
  • Basic familiarity with AI, speech technology, or language data is a plus

Benefits

  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)

Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location

$26 - $28 an hour Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It's a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.



What Welocalize employees say

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