Data Relevance and Rating Services

Improve relevance models, accuracy, and recall with DataForce

How It Works

DataForce supports and improves your relevance models, accuracy, and recall to ensure the content you showcase to your customers is relevant, culturally acceptable, and geographically precise.

When something is "relevant," it matters. Its relevance is clear. The ability of a product, company, or service to stay relevant is an ongoing process of incremental change.

DataForce has extensive experience designing, building, and scaling teams (both small and large) of high-quality raters and annotators to work within our own annotation platform or on our customer’s own platforms. Our dedicated and specialized team of recruiters, production managers, quality experts, analysts, and community engagement managers have developed and defined processes for quickly creating and expanding teams on a global scale while using continuous improvement processes to ensure project requirements are met and advanced along the way—allowing our customers the mechanism to enhance their ability to deliver the right information to their customers at the right time and place.

We Know How.

Search Relevance
Ad Relevance
Content Classification

Search Relevance

Search is a means rather than an end in itself. By improving both the accuracy and recall of a search query’s performance in returning relevant results, you increase the return the searcher receives for their effort. DataForce can support your relevance needs by training your algorithms with high-quality training data and relevance rating and ranking services completed by locale-specific, culturally aware annotators.

Ad Relevance

Optimize your advertisement’s efficiency and relevance with culturally appropriate context through our database of multilingual and multicultural experts.

Content Classification

Classify and tag structured or unstructured data into searchable and scalable taxonomies in multiple languages and content domains using our DataForce community.

Success Stories.

We've partnered with thousands of companies around the world. View a selection of our customer stories below to learn more about how DataForce has helped clients excel in the global marketplace.

View All Success Stories

Customer Review Classification

Global Data Rater Community Education & Training

Online Data Rating and Validation for Multinational Technology Company

Query & Response Evaluation and Ranking for Generative AI Chatbot

Frequently Asked Questions

Have questions? We're here to help. Here are some of our most common queries.

Answer: Data annotation focuses on labeling raw data to teach a model what things are (e.g., tagging a word or drawing a box around a car). Data Relevance and Rating evaluates the output of an existing system (like a search engine or LLM) to determine if its response is accurate, high-quality, and useful to a human user in a specific context.

Answer: For Generative AI teams, Data Relevance and Rating is the foundation of Model Evaluation, Alignment, and Safety. While automated metrics (like BLEU or ROUGE) can check text similarity, they cannot judge if an LLM’s response is genuinely helpful, logically sound, or culturally appropriate. Generative AI product teams look to DataForce for human-in-the-loop (HITL) rating to solve three critical challenges:

Powering RLHF Pipelines: High-quality human ratings are required to rank model outputs. We provide the precise human feedback (ranking preference, scoring helpfulness vs. harmlessness) needed to train reward models for Reinforcement Learning from Human Feedback (RLHF).
Eliminating Hallucinations and Bad Logic: Gen AI models notoriously invent facts with confidence. Our domain-expert raters rigorously fact-check, grade reasoning steps, and audit outputs to ensure your model provides accurate, context-aware information.
Benchmarking and A/B Testing: Before deploying an update, product teams need to know if Model B is actually better than Model A. DataForce scales side-by-side human evaluation teams to give you clear, empirical data on which model version performs best across diverse, real-world user prompts.

In short, rating services transform an unpredictable chatbot into a reliable, enterprise-grade AI product.

Answer: A search result or AI response that makes sense in New York might be irrelevant or offensive in Tokyo. Leveraging TransPerfect’s global footprint, DataForce sources native, in-country raters who understand local slang, cultural nuances, regional trends, and geographic intent. This ensures your content matches localized expectations and respects cultural guardrails.

Answer: Yes. While we offer our own secure, scalable DataForce annotation and rating platform, we are entirely platform-agnostic. If your workflows require data to stay within your internal infrastructure or a specific third-party tool, our dedicated teams can be securely onboarded to operate directly within your proprietary system.

Answer: We combine a global pool of 1M+ vetted contributors with specialized project management. Our dedicated recruiters and quality analysts build custom, scalable teams tailored to your domain. We then use continuous improvement processes—including ongoing rater calibration, blind gold-standard testing, and real-time metric tracking—to ensure project requirements adapt as your model evolves.