Hiring.Camp

Senior AI Evaluation Expert - 0526-IND-110

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Today

Location
India-Chennai (Ascendas Tech park) · Bengaluru
Type
Full-time
Seniority
Senior
Education
PhD
Source
Workday

Description

About Our Team 

We are a diverse and dedicated team working on the evaluation of GenAI-powered, multidisciplinary academic research products, such as LeapSpace and Scopus. 

Our mission is to ensure that scholarly content is accurately represented and used in Gen-AI products that support better research outcomes. We place strong emphasis on data quality, collaboration, and continuous learning across disciplines. 

About the Role 

Elsevier is looking for a Senior AI Evaluation Expert with a strong background and expertise across one or more scientific, technical, health, social science, or scholarly research domains to join our Evaluation Team. You will play a crucial role in managing evaluations for GenAI products across multidisciplinary research domains, supporting the design, execution and analysis of evaluation of solutions that support research-focused customers across scientific and technical domains. You will be an integral part of product development through live-production and release-readiness evaluation of GenAI products. You will work closely and in partnership with stakeholder groups across Academic and Research (A&G), including Product, Data Science, Technology, Commercial, and Marketing, to support targeted business outcomes. Through structured evaluation and scientific judgment, you will help ensure that our AI solutions reflect real-world scientific and scholarly understanding. 

This role will report into the GenAI Evaluation Lead, A&G. 

Key Responsibilities 

  • Apply scientific and domain expertise to design and oversee execution of evaluation studies 
  • Use AI and expert human review to prepare evaluation sets specific to product use cases 
  • Manage and participate in expert human and automated evaluation of GenAI output 
  • Support development of automated evaluation approaches through human validation 
  • Manage evaluators to score GenAI output through formal evaluation and user feedback 
  • Align evaluations with Operations, Product, and Marketing  
  • Translate evaluation findings into clear, documented recommendations to Operations and Product stakeholders 

Required qualifications 

  • Strong academic (PhD minimum) background in one or more of the following: life sciences, physical sciences, engineering and technology, health sciences, social sciences, arts and humanities, or related multidisciplinary fields 
  • Experience evaluating or validating AI or algorithmic outputs using scientific or scholarly research data 
  • Experience applying scientific or domain expertise in structured data or content environments (e.g. databases, taxonomies, or similar systems) 
  • Solid technical understanding is a plus (e.g. data flows, APIs, GitHub) 
  • Ability to work well in a matrixed organization and on cross-functional teams 
  • Strong management and communication skills  

Competencies 

  • Collaboration and team player! 
  • Customer centric approach 
  • Strong critical thinking and analytical skills 
  • Communication, time management and presentation skills 
  • Results-oriented self-starter with sense of urgency 
  • Effectively manages day-to-day issues and problems without intervention 

Work in a Way That Works for You: 

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working for You: 

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Comprehensive Health Insurance: Covers you, your immediate family, and parents.
- Enhanced Health Insurance Options: Competitive rates negotiated by the company.
- Group Life Insurance: Ensuring financial security for your loved ones.
- Group Accident Insurance: Extra protection for accidental death and permanent disablement.
- Flexible Working Arrangement: Achieve a harmonious work-life balance.
- Employee Assistance Program: Access support for personal and work-related challenges.
- Medical Screening: Your well-being is a top priority.
- Modern Family Benefits: Maternity, paternity, and adoption support.
- Long-Service Awards: Recognizing dedication and commitment.
- New Baby Gift: Celebrating the joy of parenthood.
- Subsidized Meals in Chennai: Enjoy delicious meals at discounted rates.
- Various Paid Time Off: Take time off with Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays.
- Free Transport pick up and drop from the home -office - home. (Applicable for Bangalore & Chennai).

About the Business

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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Skills

Data ScienceGitHub

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