AI Expert Network

Bring Your Expertise Into the Future of Artificial Intelligence

Paid, flexible, project-based opportunities for qualified professionals, researchers, academics and subject-matter experts across diverse fields of knowledge.

Artificial Intelligence is no longer limited to mathematics, computer science and engineering. As AI systems become more capable and increasingly interact with language, culture, education, law, economics, business, science, healthcare, the arts and other specialised domains, they need something technology alone cannot provide: Human Expertise and Judgement.

Deep subject knowledge, research experience, critical thinking, analytical judgement, creativity, linguistic understanding and professional expertise all play an important role in evaluating, improving and advancing AI systems.

The Rubrique AI Expert Network connects accomplished professionals, researchers, academics and subject-matter experts with opportunities to contribute their knowledge and experience to AI and other knowledge-driven projects.

Expertise Across STEAM and Beyond

Science
Technology
Engineering
Mathematics

Life Sciences
Healthcare
Arts
Humanities

Linguistics
Social Sciences
Professional & Specialised Domains

Whatever your field, your expertise can help make AI more knowledgeable, accurate, relevant and useful.

Your Journey With the Rubrique AI Expert Network

A Simple, Transparent and Professional Process

Joining the Rubrique AI Expert Network is straightforward. Every profile is reviewed thoughtfully to understand where your expertise can create the greatest value.

Register Your Profile

Profile Review

Our team reviews your information and CV to understand your areas of expertise and experience.

Opportunity Matching

Your profile is considered against the requirements of relevant current and future projects.

Opportunity Discussion

Where there is potential alignment, we contact you to discuss the project, responsibilities, expected commitment and engagement terms.

Project Engagement

Subject to suitability, project requirements and mutually agreed terms, you may be engaged for the relevant project.

Interested in Contributing Your Expertise?

Join the Rubrique AI Expert Network and be considered for relevant current and future AI projects based on your expertise, experience and project requirements.

Expertise We Welcome

We are building a network of accomplished professionals, researchers, academics and subject-matter experts across diverse fields of knowledge. Your expertise may come from academic research, professional practice, technical work or deep experience within a specialised domain.

STEM & Technical Experts

Experts across mathematics, statistics, physics, chemistry, biology, life sciences, healthcare, engineering, computer science, technology, data science and related disciplines

Arts, Humanities & Linguistics Experts

Experts in languages, linguistics, literature, philosophy, history, arts, culture, communication and other humanities disciplines.

Social Sciences, Business & Professional Experts

Professionals and researchers in areas such as economics, psychology, education, business, management, law, social sciences and other specialised professional domains.

Research & Academic Experts

PhD holders, postgraduate researchers, academics, scientists, research professionals and experienced subject-matter experts across diverse fields.

AI & Computational Experts

Professionals with experience in AI/ML, programming, data science, GenAI, LLMs, computational research, AI evaluation or related technical areas.

Specialised Domain Experts

Professionals with substantial expertise in a specialised field that can contribute to AI evaluation, knowledge development, research, reasoning, content assessment or other AI-related work.

Capabilities We Look For

Beyond subject-matter expertise, AI projects require the ability to apply knowledge with rigour, judgement and precision. Depending on the project, we look for some or several of the following capabilities.

Research & Evidence-Based Thinking

Ability to investigate questions, work with reliable sources, verify information and distinguish evidence from unsupported claims.

Critical Thinking & Reasoning

Ability to examine information, arguments and conclusions critically, question assumptions and assess whether reasoning is sound.

Analytical Judgement

Ability to identify inaccuracies, inconsistencies, gaps, ambiguities and unsupported conclusions, and make well-reasoned assessments.

Accuracy & Attention to Detail

Ability to evaluate work carefully, recognise subtle errors or omissions and maintain a consistently high standard of accuracy.

Contextual Judgement

Ability to understand nuance, context and real-world implications rather than assessing information only at a surface level.

Clear Communication

Ability to explain assessments, reasoning and feedback clearly, precisely and logically in written or verbal form.

Structured Problem-Solving

Ability to break down complex questions, evaluate alternative approaches and arrive at logical, well-supported conclusions.

Adaptability & Ability to Work With Guidelines

Ability to understand project-specific instructions, apply evaluation criteria consistently and adapt to different types of tasks and requirements.

Does This Sound Like You?

If you bring strong subject-matter expertise together with research capability, critical thinking, analytical judgement or other relevant professional capabilities, we would be interested in understanding your profile.

What Kind of Opportunities Are Available?

Scientific & Subject-Matter AI Evaluation

For experts with deep scientific, technical, research, professional or specialised subject-matter knowledge.

Evaluating AI-generated scientific or technical answers
Validating factual and domain accuracy
Assessing reasoning, concepts and solutions
Identifying errors, gaps or unsupported conclusions
Applying specialist knowledge to evaluate AI-generated outputs
Developing or reviewing domain-specific questions and evaluation material

Coding & Computational AI Evaluation

For professionals with programming, computational, algorithmic, AI/ML, data science or related technical expertise.

Evaluating AI-generated code
Validating computational reasoning
Solving technical and algorithmic problems
Reviewing programming solutions
Assessing code quality, logic and correctness
Applying computational expertise to evaluate AI-generated outputs

Language, Humanities, Arts & Other Knowledge-Based AI Evaluation

For experts whose strengths lie in language, linguistics, literature, humanities, arts, social sciences, education, communication, business, law, economics, psychology, culture or other specialised domains.

Evaluating language quality, meaning and clarity
Assessing contextual and cultural accuracy
Reviewing interpretation and reasoning
Evaluating written, visual or creative AI-generated content
Research and fact verification
Assessing domain-specific responses
Developing and reviewing evaluation questions
Applying professional or academic expertise to AI-generated outputs

GenAI, LLM & Other AI Evaluation Opportunities

Depending on project requirements, experts may also be considered for opportunities involving:

Generative AI
Large Language Models
AI-generated content evaluation
Research and fact verification
AI model testing and validation
Multimodal AI evaluation
AI data annotation
AI data generation
Knowledge-intensive AI projects
Other emerging AI evaluation and knowledge-driven assignments

What Kind of Engagement Is This?

The Rubrique AI Expert Network is not a conventional full-time employment programme. The opportunities we support are generally project-based professional assignments.

Flexible

Projects may be undertaken alongside existing academic, research or professional commitments, subject to project requirements and availability.

Project-Based

The scope, duration and nature of work vary according to the specific project.

Variable Commitment

Weekly time requirements can vary. Some projects may require a defined number of hours per week, while others may have different engagement structures.

Paid

Compensation is generally structured on an hourly or project basis, depending on the specific assignment.

Expertise Driven

Project requirements may consider academic qualifications, professional experience, research background, publications, technical capabilities, domain expertise and other relevant credentials.

How Are Compensation & Engagement Terms Determined?

There is no single compensation rate applicable across the Expert Network.The applicable terms depend on factors such as:

Nature and complexity of the project
Expertise required
Academic and professional qualifications
Relevant experience
Research and subject-matter expertise
Technical or computational capabilities
Expected level of contribution
Project duration and time commitment

Where there is potential alignment, we will discuss the specific project, responsibilities, expected commitment and applicable compensation with you before proceeding with an engagement.

Why Join the Rubrique AI Expert Network?

Access to AI Opportunities

Be considered for projects where your academic, professional or subject-matter expertise can contribute to Artificial Intelligence.

Work Alongside Your Existing Commitments

Project-based opportunities may provide flexibility to contribute alongside your existing academic, research or professional work.

Multiple Areas of Contribution

Your profile may be considered across different AI evaluation and knowledge-driven project areas.

Your Expertise Matters

Contribute scientific, technical, research, computational, linguistic, creative or professional judgement to the development and evaluation of AI systems.

Current & Future Opportunities

Your profile may be considered for relevant projects we are currently handling as well as future opportunities, subject to project requirements.

No Obligation

Registering with the Network does not guarantee project allocation or require you to accept an assignment.

Frequently Asked Questions

No. The opportunities supported through the Network are generally project-based professional assignments. The duration and time commitment vary according to the specific project.

Yes. Suitable project engagements are paid, generally on an hourly or project basis. Compensation depends on the specific project and the expertise and contribution required.

Yes. Where your profile aligns with a project, the project requirements, responsibilities, expected commitment and applicable compensation will be discussed before proceeding with the engagement.

Not necessarily. Some projects specifically require AI, GenAI, LLM, programming or computational experience. Other opportunities primarily require deep scientific, research, language, creative, professional or subject-matter expertise. Requirements vary by project.

Not necessarily for every project. The Network is particularly interested in experienced and research-oriented professionals, including PhD and postgraduate-level experts, but eligibility depends on the requirements of the specific project.

Yes. Your profile can be considered across multiple areas where relevant.

Yes. The Network is designed to encompass diverse fields of knowledge. Relevant opportunities may require expertise in language, linguistics, humanities, arts, social sciences, business, law, education, economics, psychology or other specialised domains.

Potentially, yes. Many assignments are designed as flexible, project-based engagements. However, the expected commitment depends on the individual project.

No. Registration allows Rubrique to understand your profile and consider you for relevant opportunities. Project engagement depends on your profile, project requirements, availability and mutual agreement.

Yes. Your profile may be considered for relevant future opportunities as well.

Bring Your Expertise Into the Future of AI

Register with the Rubrique AI Expert Network and let us understand your expertise, experience and areas of interest. Your profile may be considered for relevant current and future opportunities.