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Data Annotation For Ai Jobs in Georgetown, DE (NOW HIRING)

Bespoke Labs

Data Engineer

Milford, DE · On-site

$110K - $132K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... This means designing observation spaces, action spaces, reward signals, and success criteria for ...

Bespoke Labs

Data Engineer

Seaford, DE · On-site

$107K - $129K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... This means designing observation spaces, action spaces, reward signals, and success criteria for ...

TSMG

Data collector / Driver

Salisbury, MD

We count features, take pictures, make videos, record speech, and scan areas for every detail you ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

TSMG

Data collector / Driver

Salisbury, MD · Remote

We count features, take pictures, make videos, record speech, and scan areas for every detail you ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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All JobsData Annotation For Ai JobsData Annotation For Ai Jobs in Georgetown, DE

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.
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What job categories do people searching Data Annotation For Ai jobs in Georgetown, DE look for? The top searched job categories for Data Annotation For Ai jobs in Georgetown, DE are:
Data Annotation For Ai jobs near you

Director Pricing Strategy -- AI Platform

Teradata Corporation (SE)

Dover, DE • On-site

$156.40 - $234.70/hr

Other

Medical, Life, Retirement

Posted 5 days ago

Job description

Our Company

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What You’ll Do

The Director/Sr. Director of Pricing Strategy for the AI Platform leads monetization for Teradata’s AI/ML, LLM, agentic, and compute‑intensive workloads. This role shapes how Teradata captures value in the rapidly evolving AI market.

  • Develop and own the end‑to‑end pricing strategy for the AI Platform portfolio.
  • Define pricing strategy for AI workloads, including model training, inference, vector search, and agentic orchestration.
  • Build usage‑aligned pricing models that scale with compute, GPU, and AI service consumption.
  • Conduct competitive analysis across AI platforms.
  • Develop packaging and SKU strategy for AI platform and add‑ons.
  • Collaborate with Finance to model revenue impact, elasticity, and pricing scenarios.
  • Partner with Sales and Deal Desk to ensure pricing is executable and aligned with field needs.
  • Establish pricing guardrails and discount frameworks specific to AI workloads.
  • Drive readiness for AI product launches, including pricing, PIDs, CPQ requirements, and enablement.
Who You’ll Work With

You will partner with AI Product leadership to influence roadmap prioritization based on monetization potential.

What Makes You a Qualified Candidate
  • 10–15+ years in pricing, AI product strategy, or cloud monetization
  • Experience with AI/ML platforms and agentic AI pricing
  • Strong financial modeling and scenario analysis skills
  • Proven track record building value‑based pricing models
  • Experience partnering with Product, Finance, and Sales leadership
  • Bachelor’s degree required; MBA or equivalent preferred
What You’ll Bring
  • Deep understanding of AI/ML workloads, GPU economics, and model lifecycle
  • Ability to simplify complex technical concepts into clear pricing narratives
  • Highly collaborative; strong cross functional influence
  • Executive presence with strong storytelling and framing skills
  • Comfortable operating in ambiguity and driving clarity
Why We Think You'll Love Teradata

We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well‑being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.

#LI-CP2

Teradata is proud to be an equal opportunity employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. We welcome and encourage individuals from all backgrounds to apply and join our team, bringing their unique perspectives and experiences to help us innovate and grow. If you require accommodations during the interview process, please let your recruiter know and we will work with you to meet your needs.

Pay Rate: 156400.0000 - 195600.0000 - 234700.0000 Annually

Starting pay for the successful applicant will depend on geographic location, internal equity, job‑related knowledge, skills, and candidate experience. Sales roles will be eligible for commission payments tied to quota achievement. All other permanent roles will be eligible for one of our annual incentive plans, which are based on company financial attainment and individual performance.

Employees in this position are also eligible to participate in the Company’s comprehensive benefits programs, which include healthcare, life and disability insurance plans, a 401(k)-retirement savings plan, and time‑off programs. Specific details of these benefits, including eligibility criteria and plan options, will be provided during the hiring process and can be reviewed here: https://www.teradata.com/About-Us/Careers/Benefits

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