BPO Service
RLHF services: human feedback data for training and aligning LLMs
Calibrated reviewers produce preference and feedback data in your labeling platform, with QA on every batch.
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Direct answer
Actigy BPO provides RLHF services as a nearshore business process outsourcing (BPO) company headquartered in Prague, Czech Republic. Reviewers create preference and feedback data for large language models (LLMs). Reinforcement learning from human feedback (RLHF) uses that data within the client's training process. A process audit and paid pilot test the review workflow; the client retains model ownership.
Your guidelines · Reviewed feedback · Your training decisions
Human feedback, not model engineering
Actigy BPO delivers reviewed data to your workflow. Your team owns reward models, training runs, model weights and release decisions.
Key takeaways
- Every Actigy BPO engagement starts with a process audit and a paid pilot.
- Actigy BPO works in the client's tools, with access limited to the systems the client approves.
- Version the prompt set, rubric and reference answers with each batch.
- Measure accepted feedback, review effort and unresolved cases together.
RLHF services at a glance
Actigy BPO scopes reviewer work around the client's guidelines and quality assurance (QA) rules.
| Service | Preference ranking, demonstrations, rewriting and rubric labels |
|---|---|
| Who it is for | Model builders and artificial intelligence (AI) product teams |
| Delivery locations | Bulgaria, Romania, Poland and Ukraine |
| Coverage | Business hours to 24/7, set per engagement |
| Pricing model | Per full-time equivalent (FTE) by role; quote after the process audit |
| Typical start | Pilot usually 2 to 4 weeks after the process audit, subject to readiness |
RLHF vs supervised fine-tuning data
Actigy BPO prepares human-feedback data; the client's model team chooses the training method. Preference data records which response fits an approved rubric. The client can use it to train a reward model. Demonstration data supplies example answers for supervised fine-tuning.
Keep a preference judgment separate from a claim that an answer is factually correct. Both require clear instructions and evidence. Your team owns the training pipeline and decides whether the data fits its intended use.
| Task | Required record |
|---|---|
| Pairwise or ranked preferences | Response order, tie or unresolved choice, plus the reason |
| Response rewriting and demonstrations | Corrected answer tied to approved guidance |
| Rubric scoring | Criterion, score and supporting evidence |
| Safety and policy labels | Client policy category and escalation note |
| Prompt writing | Prompt, target task and approved constraints |
| Reasoning trace correction | Corrections to supplied reasoning steps, checked against client-approved worked examples |
How Actigy BPO produces human feedback data
Actigy BPO maps each batch from prompt intake to accepted delivery. The process audit names the client owner, task fields and standard operating procedures (SOPs). A paid pilot tests the sequence before volume increases.
- Prompt sets. Agree approved prompts, source rights, task categories and version records.
- Response collection. Receive responses through the client's approved workflow; retain the model and prompt versions.
- Ranking. Compare responses against the rubric and record preferences, reasons and unresolved choices.
- Rewriting. Correct answers or supplied reasoning steps only within the client's guidance.
- QA review. Check samples, reference items and disagreements; return errors for correction.
- Client delivery. Send accepted labels and unresolved questions in the agreed format to the client's pipeline.
- Feedback cycle. Apply client-approved guideline changes, recalibrate reviewers and test the next batch.
How Actigy BPO keeps labels consistent
Actigy BPO selects reviewers against the actual task and approved examples, not an unverified credential claim. Training covers score meanings, policy boundaries and examples that need escalation. Calibration compares independent judgments before reviewers enter production.
Human preference data labeling service
Actigy BPO records each preference with its reason and rubric version. Gold items provide client-approved reference answers. Maker-checker review compares completed work with those rules, while sampling tracks changes in judgments.
A client subject-matter owner settles questions beyond the rubric. Record the decision and update the reference set before applying it to later work. Reviewers do not quietly replace the policy with their own view.
| Measure | Definition |
|---|---|
| Agreement | Consistent judgments on independently reviewed items |
| Reference-item pass rate | Reviewed answers matching the agreed gold standard |
| Accepted labels and rework | Accepted output and work returned for correction |
| Unresolved cases | Items awaiting a client decision, grouped by cause and age |
RLHF limitations and human-review controls
Actigy BPO exposes unclear preferences and inconsistent labels through review; human QA does not remove every training risk. A shared reviewer bias can survive high agreement. Inspect the sample, reference answers and reasons before trusting the summary.
| Risk | Control to agree |
|---|---|
| Subjective or conflicting preferences | Define tie rules and a client decision owner. |
| Missing task coverage | Check the batch against the client's intended use and edge cases. |
| Reviewer drift | Repeat calibration and inspect disputed examples. |
| Overfitting to a narrow rubric | Keep separate evaluation examples under the client's control. |
Client engineers validate any trained model separately. Label acceptance does not authorize deployment or establish that a model is safe.
Data handling and retained model authority
Actigy BPO reviewers use approved client systems under agreed confidentiality and data-use terms. Client data does not become reusable training material for other work. The scope names access, retention, return and removal of permissions.
Actigy BPO uses ISO 9001-aligned quality management. Aligned, not certified. SOC 2-aligned controls: role-based access, logging and segregation of duties. Aligned, not audited. Confirm the data-processing terms and security practices for your dataset.
Your team keeps hosting, model architecture, training, weights and validation. The service does not sell cloud infrastructure or replace the client's engineering team.
RLHF annotation team in Europe
Actigy BPO delivers from teams in Bulgaria, Romania, Poland and Ukraine. Bulgaria, Romania and Poland are European Union (EU) locations; Ukraine is outside the EU. Approve work locations and transfer terms before granting access.
Actigy BPO teams in Central and Eastern Europe cover the full UK business day and the US morning. Agree handoff times, client review windows and any extended shifts. Scaling depends on trained availability, access and an accepted pilot, not just requested volume.
RLHF outsourcing companies: compare delivery responsibilities
Actigy BPO prices most services per FTE by role and sends a written quote after the process audit. Compare supervision, calibration and QA effort as well as label volume. Your team retains training costs and model validation.
| Responsibility | Actigy BPO managed team | In-house team | Freelancer or staffing agency |
|---|---|---|---|
| Daily management | Agreed team lead | Client manager | Confirm supervision |
| SOP ownership | Client-owned guidelines | Client-owned guidelines | Confirm rights and versions |
| Quality checks | Agreed QA and calibration | Client review process | Confirm who reviews labels |
| Coverage | Scoped shifts and handoffs | Internal schedule | Contracted availability |
| Start | Audit and paid pilot | Hiring and training | Selection and onboarding |
| Price basis | Per FTE by role | Employment and operating costs | Contracted fee basis |
| Exit | Agreed records and access handback | Internal knowledge transfer | Agreed deliverables and handback |
Actigy BPO fits when you need preference-labeling queues, response correction batches or policy reviews with approved guidance and a client review owner. Actigy BPO is not the right fit when you need research staff, model training or an unsupported subject-matter credential.
Published annotation and feedback evidence
Actigy BPO's AI data annotation and RLHF case study reports 80,000+ model alignment evaluations processed monthly (Actigy BPO-reported). The published engagement combined human feedback with annotation for an autonomous mobility and computer vision enterprise. The figure is case-specific, not standard capacity or a model-quality result.
Results come from anonymized client engagements, are reported by Actigy BPO and are not independently audited. Results depend on scope.
Domain scope requires client evidence
Actigy BPO uses that published domain as evidence of one engagement, not expertise across every industry. For another domain, your owner supplies rules and reference answers. Reviewers escalate decisions that require client expertise.
Image, video and sensor annotation belong to the broader AI outsourcing scope, not this RLHF feedback scope.
RLHF services FAQ
What are RLHF services?
RLHF services prepare human feedback that a model team can use in reinforcement learning from human feedback. Actigy BPO provides response ranking, rewriting, rubric scores and policy labels under client-approved guidelines.
The model team decides how feedback enters training and checks the resulting model. Accepted labels are not proof of model improvement. Agree the prompt set, data rights, reference answers and acceptance rules before the first batch.
What tasks do RLHF reviewers perform?
Actigy BPO reviewers compare responses, rank preferences, rewrite answers and apply the client's scoring rubric. They can also prepare approved demonstration answers, prompt examples and safety labels. Reasoning trace correction follows the client's worked examples and scope.
Reviewers record why an answer needs correction and escalate unclear cases. Your model team sets the target behavior, approves changes to the rules and decides how to use accepted feedback.
How does Actigy BPO keep preference labels consistent?
Actigy BPO compares reviewer judgments with the same approved reference items before production. The team records agreement, examines differences and repeats calibration when guidance changes. Maker-checker review and sampling continue through each batch.
Your owner resolves disputed policy or subject-matter questions. Report scores by task, rubric version and sample size. A high agreement measure can still hide a shared misunderstanding, so inspect the reasons and reference answers too.
Which labeling platforms can the team work in?
Actigy BPO uses the client's approved labeling platform rather than requiring a new training system. The process audit checks access roles, task states, comments, review fields and export requirements. Reviewers need enough context to apply the agreed rubric.
Your team keeps platform administration, model connections and data-hosting decisions. Confirm the actual workflow in the pilot. A named tool alone does not establish compatibility, a partnership or permission to access production data.
How fast can an RLHF team scale?
Actigy BPO scales a team only after the pilot meets the thresholds agreed in the SOP. Available trained reviewers, access, guideline complexity and review depth determine the next batch size. More labels alone do not establish accepted capacity.
Agree ramp-up, surge notice and ramp-down terms in writing. Keep calibration and client review time in the plan. Any change in topic or task needs a readiness check before production.
How are RLHF services priced?
Actigy BPO prices human-feedback work per FTE by role and sends a written quote after the process audit. Response length, task mix, revision work and review depth shape the staffing. Confirm team leadership, QA and accepted delivery hours in the proposal.
Actigy BPO measures handling time, rejected work and review effort in a paid pilot for your batch. Compare total cost for the same acceptance rules, not an assumed price per label.
Should you hire annotators directly or use a managed RLHF team?
Actigy BPO fits when you need a managed review queue with documented guidelines, team leadership and agreed QA. Direct hiring fits when your own managers can select, train and review the added staff. Compare the same tasks and retained duties.
If you plan to hire data annotators, include calibration and review time in the internal cost. Keep final model decisions with your team under either approach.
Separate feedback data from model testing
Actigy BPO also provides LLM evaluation services for reviewed output and task evidence. See AI plus human operations for the wider handoff model.
Page updates
October 4, 2026: published feedback tasks, calibration, data handling and client-owned training boundaries.
Test one human-feedback batch
Share approved prompts, the rubric, sample responses and the acceptance rules.
Scope a pilot
What happens next
The team reviews the workflow before proposing a written scope. You decide whether to start a paid pilot after reviewing it.