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Offer acceptance rate * Pipeline conversion rates * Use data to optimize recruiting strategies and ... AI environments * Hyperscaler or large-scale technology environments * Proven success hiring in ...
Offer acceptance rate * Pipeline conversion rates * Use data to optimize recruiting strategies and ... AI environments * Hyperscaler or large-scale technology environments * Proven success hiring in ...
Offer acceptance rate * Pipeline conversion rates * Use data to optimize recruiting strategies and ... AI environments * Hyperscaler or large-scale technology environments * Proven success hiring in ...
Offer acceptance rate * Pipeline conversion rates * Use data to optimize recruiting strategies and ... AI environments * Hyperscaler or large-scale technology environments * Proven success hiring in ...
Quick apply
Offer acceptance rate * Pipeline conversion rates * Use data to optimize recruiting strategies and ... AI environments * Hyperscaler or large-scale technology environments * Proven success hiring in ...
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Project Manager, AI and Data Science
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Data Science & Analysis - AI Training - US
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Ai Data Rater information
What is an AI Data Rater job?
An AI Data Rater evaluates and rates AI-generated content, such as search engine results, chat responses, or recommendations, to improve machine learning models. They follow specific guidelines to assess relevance, accuracy, and quality. This role helps refine AI systems by providing valuable feedback to enhance their performance. It typically requires strong analytical skills, attention to detail, and familiarity with the subject matter being rated.
What are the key skills and qualifications needed to thrive in the Ai Data Rater position, and why are they important?
To succeed as an AI Data Rater, you need strong analytical skills, attention to detail, and proficiency in evaluating data quality, typically requiring at least a high school diploma or equivalent. Familiarity with computer systems, web browsers, and proprietary rating platforms is often necessary, and training in data privacy or AI guidelines is sometimes provided. Excellent time management, adaptability, and effective written communication help candidates stand out in this largely remote and independent role. These skills ensure accurate data evaluations, support AI improvement, and enable consistent, high-quality performance.
What are some typical daily responsibilities for an AI Data Rater?
As an AI Data Rater, your main responsibilities include reviewing and evaluating various types of data—such as search queries, images, or social media content—according to detailed guidelines provided by your employer. You will typically work independently, using specialized tools or web-based platforms to rate data quality, relevance, or appropriateness. Attention to detail and consistency are important, as your feedback directly impacts the effectiveness of AI systems. Depending on the employer, you may also participate in training sessions or occasional team meetings to stay updated on the latest guidelines or project requirements.
Other
Posted 2 days ago
Job description
COMPANY OVERVIEW
Hanwha Energy USA, headquartered in Houston, Texas, is part of the Hanwha Group-a FORTUNE Global 300 company and one of South Korea's most respected business enterprises. With over a decade of experience delivering high-quality, utility-scale energy projects across North America, Hanwha Energy USA has evolved into a comprehensive energy solutions provider. Our portfolio now spans utility-scale renewables, natural gas generation, retail electricity, and strategic partnerships that power America's growing data center industry.
Our expertise covers the entire energy value chain-from project development and engineering to construction, operations, and maintenance. By integrating advanced technologies, proven processes, and strong partnerships, we deliver reliable, customized solutions that meet the dynamic needs of local energy markets.
Hanwha Energy USA is actively advancing strategic initiatives in natural gas generation and data center development, including hyperscaler solutions on both sides of the meter. We are proud to serve as the parent company of:
- Hanwha Renewables - specializing in utility-scale solar and battery energy storage systems (BESS)
- Chariot Energy - providing retail electricity services for residential, commercial, and industrial customers in deregulated markets
POSITION OVERVIEW
The Talent Acquisition Specialist - AI & Data Center Recruiting is a strategic, full-cycle recruiter responsible for hiring critical technical and leadership talent supporting data center development, AI infrastructure, and hyperscale operations.
This individual will bring direct experience recruiting within Hyperscaler or large-scale data center environments, with deep understanding of the talent landscape across:
- Data center development & construction
- AI / HPC infrastructure
- Hyperscale operations
- Mission-critical facilities
You will partner closely with the Talent Acquisition Director, Hiring Managers, and business stakeholders to build high-impact teams that support rapid growth in a highly competitive talent market.
The employee may be required to perform other job-related duties as requested by management. All duties will be assigned in accordance with applicable laws and company policies.
This role reports to the Director, Talent Acquisition, or another senior leader as designated.
RESPONSIBILITIES
Full-Cycle Recruiting (Technical & Leadership Hiring)
- Lead end-to-end recruiting for complex, high-priority roles across:
- Data center development (site selection, design, construction)
- AI infrastructure
- Data center operations (critical facilities, reliability engineering)
- Commercial, strategy, and leadership roles
- Drive strong candidate pipelines in highly competitive, niche markets
Hyperscaler Talent Market Expertise
- Leverage deep knowledge of Hyperscaler talent ecosystems (e.g., AWS, Microsoft, Google, Meta)
- Build targeted sourcing strategies for:
- Data center project managers, construction managers, and engineers
- Electrical, mechanical, and commissioning experts
- AI infrastructure engineers and specialists
- Map competitor talent and execute strategic outreach campaigns
Stakeholder & Hiring Leader Partnership
- Act as a trusted advisor on hiring strategy, talent availability, and compensation benchmarks
- Influence hiring decisions through market insights and data-driven recommendations
- Partner with leadership on workforce planning and hiring prioritization
Sourcing Strategy & Pipeline Development
- Develop proactive sourcing strategies leveraging:
- Direct sourcing (LinkedIn, referrals, industry networks)
- Passive candidate engagement
- Industry events and talent communities
- Build and maintain pipeline depth for future hiring needs, especially for hard-to-fill roles
Candidate Experience & Employer Branding
- Deliver a white-glove candidate experience aligned with Hyperscaler-level expectations
- Position the company as a top destination for AI and data center talent
- Ensure strong communication and engagement across all candidate touchpoints
Data & Recruiting Performance
- Track and manage key recruiting metrics:
- Time-to-fill
- Offer acceptance rate
- Pipeline conversion rates
- Use data to optimize recruiting strategies and hiring outcomes
REQUIRED QUALIFICATIONS
- Bachelor's degree in Human Resources, Business, or related field (or equivalent experience)
- 5+ years of experience in technical recruiting, with a strong emphasis on:
- Data center infrastructure
- AI environments
- Hyperscaler or large-scale technology environments
- Proven success hiring in highly competitive, niche talent markets
- Prior experience at a Hyperscaler (AWS, Google, Microsoft, Meta) or large data center developer/operator
- Experience supporting greenfield data center development projects
- Knowledge of renewable energy + data center convergence
- Exposure to AI infrastructure buildouts (GPU clusters, advanced computing environments)
- Experience recruiting for engineering, construction, and mission-critical roles
- Proficiency in ATS systems and sourcing tools (LinkedIn Recruiter, Greenhouse, etc.)
- Experience supporting fast-scaling, high-growth organizations
REQUIRED SKILLS
- Deep understanding of data center and AI infrastructure talent markets
- Strong full-cycle recruiting capabilities across technical and business roles
- Advanced sourcing and talent mapping skills
- Ability to influence senior stakeholders and executives
- Strong business acumen and consultative mindset
- High level of ownership, urgency, and accountability
- Excellent communication and candidate engagement skills
COMPENSATION: $120,000 - $140,000 salary
Attention external recruitment firms, we will not accept any unsolicited resumes at this time. Please do not contact any internal member of our company to discuss the position or to solicit candidates.
Hanwha Energy USA provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.
www.hanwhaenergyusa.com