How to compare rlhf companies for a Latin American hire

What does this role own on a US team?

Write the job around the decisions the person will make. "AI trainer" can describe response rating, expert review, or technical work on a training system. A candidate needs to know which tasks are theirs before accepting an interview.

For an RLHF annotator, define the core work as reviewing model outputs against a written rubric. RLHF means reinforcement learning from human feedback. Your hiring scope should say what feedback the person produces and who accepts it.

A useful role description might read: "Review paired assistant responses, choose the stronger answer under our rubric, and explain the choice. Flag cases where the instructions do not support a clear decision."

Specify whether the person will also write example answers, check factual claims, or review another annotator's work. Each duty changes the trial task. Coding review, for example, needs a test of code correctness as well as written reasoning.

Keep ownership clear:

Choose the level based on the work. A junior hire can start with narrow tasks and close review. A mid-level hire should explain difficult calls and identify recurring errors. Give a senior reviewer explicit responsibility for calibration or rubric changes if you expect that work.

Do not make a new hire responsible for a quality target they cannot interpret. Provide accepted examples, rejected examples, and a named person who can answer questions.

Before searching, collect a small set of sanitized tasks from the planned workflow. Use those tasks in interviews and onboarding. This gives candidates a concrete view of the job and gives your reviewers a common basis for hiring.

Define the deliverable before setting a daily target

Write down what a completed item contains. For a response comparison, that might include the preferred answer, a rubric category, and a short explanation. Allow a separate status for cases that need review. Otherwise, a worker may feel pushed to guess just to complete the form.

Decide whether the hire can correct a response or only rate it. Editing an answer takes different work from choosing between answers. Include both duties in the job description if both belong in the queue.

Keep responsibility for model results with the team that controls training and evaluation. Assess the annotator on work they can influence: applying the current rubric, recording reasons, and raising unresolved questions. Avoid making a hiring promise depend on a model improvement the person cannot deliver alone.

How does US pay from BLS OEWS compare with LatAm pay?

Match the occupation before comparing pay. A software developer benchmark is relevant context for technical work, but it is not an RLHF annotator rate.

BLS reports a US median annual wage of $135,980 for software developers in May 2025. For software quality assurance analysts and testers, the median was $104,300. These figures describe those occupations, not a dedicated AI trainer position. BLS pay data

Use that distinction when the hiring manager combines annotation and engineering duties. If the hire must write production code, budget and assess that responsibility explicitly. Do not price the role as basic labeling and then add ownership of a training pipeline.

Request a country and seniority rate card

Ask for monthly quotes against the same job description. Specify whether each quote is gross salary, contractor pay, or the full service charge.

Salary context: Stack Overflow Developer Survey, Levels.fyi Mexico, and Levels.fyi Brazil. Treat developer compensation as a separate occupation when requesting annotator quotes.

For every quote, ask what the worker receives and what the buyer pays. Record the currency and payment period. Confirm how the price treats paid leave, equipment, and any hours outside the agreed schedule.

Opus charges one flat monthly rate per hire. This site is an Opus-owned reference; recommendations are editorial. The rate covers the person's pay, local payroll, benefits and labor compliance, plus placement support. There is no separate recruiting fee. The rate depends on role, seniority and location. Published dollar rates: Not published. Opus pricing

Keep salary and service cost in separate columns in your budget. The Opus salary guide also distinguishes local salary from a fully loaded placement price.

Include your own review time in the hiring decision. Ask who will prepare tasks, answer questions, and inspect the first batches. A quote that fits the payroll budget may still require more management time than the team can supply.

Ask for a revised quote if the scope changes from general response review to specialist work. Keep the original scope beside the new one so procurement can see what changed. A lower monthly price is not a useful comparison if one proposal excludes review duties.

Also confirm what happens between batches. Will the person help revise examples, review disputed items, or wait for the next queue? Put those duties in the scope before comparing monthly and task-based prices. Ask how a pause in your project affects the invoice and the worker's availability when tasks resume.

Talk to Opus about an RLHF annotator role.

Which skills should you test, and how?

Use a paid work sample that resembles the actual queue. Keep the scope small enough for your reviewer to inspect every answer. Tell candidates the expected effort and payment terms before they begin.

Start with written instructions and response pairs. Include a clear decision, a close decision, and a case that should be escalated. Ask for a short reason tied to the rubric.

Avoid a test where polished prose can hide weak judgment. A fluent explanation should still identify the exact sentence or behavior that drove the rating.

Agree on the expected answers before sending the exercise. Have the hiring manager resolve disagreements among internal reviewers. If your own team cannot explain the preferred answer, revise the task.

Then hold a live review. Ask the candidate to walk through a disputed rating. Give them a clarified instruction and let them revise their work. Assess whether the revision follows the rule and whether they can explain what changed.

Separate a mistake from a defensible difference in judgment. An answer may be wrong because it ignores an explicit constraint. Another may expose a gap in the rubric. Your scoring sheet should let reviewers record both.

Inspect the reason behind the rating

Suppose a prompt asks for a short answer using only the attached passage. One response follows that limit. Another adds a plausible claim from outside the passage. Ask the candidate to identify the instruction that determines the rating. Do not award full credit for choosing your preferred answer without explaining why.

For a close case, let the candidate question the expected rating. Look for a precise objection tied to the task. A useful reviewer should be able to explain disagreement without treating personal taste as a rule.

Keep the exercise and scoring criteria consistent across finalists. If you clarify an instruction for one candidate, give the same clarification to the others. Record what each person submitted before and after feedback so the hiring discussion rests on their work.

Test language in the work itself

For an English-language queue, assess written English through the trial. A conversational interview alone does not test whether someone can explain a subtle response error.

For Spanish or Portuguese work, use tasks in the target language. State the intended audience and locale. Ask candidates to explain wording that is technically correct but unsuitable for that audience.

Use the same approach for specialist knowledge. If the job includes code review, ask the candidate to inspect code and explain a defect. If it includes another expert subject, have a qualified reviewer score that portion.

Courses can help a candidate prepare, but course completion should not replace the work sample. When choosing the best AI training companies for your team, ask how they assess the actual work you need done.

Set the rules for tools and data

Tell candidates whether they may use an AI assistant, search engine, or external reference during the trial. Match the rule to the job. If assisted work is allowed, require the candidate to explain and check the final submission.

Use sanitized material. Keep customer records and production credentials out of the hiring exercise. State how trial files should be returned or deleted.

Before onboarding, define what can leave the work environment. Give the hire a clear route for reporting accidental exposure or inappropriate task content. Ask the provider how access is removed when an assignment ends.

Where should you search for nearshore talent in Latin America?

Start with the working language and required meeting hours. Use country as a search filter, then assess each candidate on the same work sample.

Avoid ranking countries by assumed annotation quality. Ask for candidates who can show the required reasoning and meet the schedule. Confirm the person's city because a country name may not identify their time zone.

The table below assumes both teams work from 9 a.m. to 5 p.m. locally. It shows shared hours, not a promise about an individual candidate's availability.

Time-zone basis: IANA North America and IANA South America. Standard-time comparisons use January 15, 2027; daylight-time comparisons use July 15, 2026.

Mexico City and Tijuana require different scheduling assumptions. Tijuana follows US daylight saving changes. Mexico City stays on UTC-6. Put the city and working hours in the role description.

Bogotá stays on UTC-5. For an Eastern Time team, confirm how recurring review sessions move when the US changes clocks.

Buenos Aires and São Paulo stay on UTC-3. A Pacific Time team should agree on a shared review window before making an offer. Do not assume the candidate will extend their evening to cover every US meeting.

San José stays on UTC-6. Confirm whether your team needs a fixed local schedule or a fixed US schedule across daylight saving changes.

Plan the shared hours around decisions

Use overlap for rubric questions, disputed labels, and feedback on completed work. Leave independent rating tasks outside those meetings when the workflow allows it.

Choose a named backup for the US reviewer. A worker should know where to send an urgent question when the usual owner is absent. Set an expected response window and explain which tasks can continue while a decision is pending.

Ask each finalist to confirm the proposed schedule in writing. Include breaks and recurring meetings. If coverage must change during US daylight saving time, discuss that before the offer.

For multilingual work, keep the language test separate from the location decision. A convenient time zone does not establish the writing skill your queue needs.

Plan for absences before assigning a deadline to a batch. Ask the provider for the applicable holiday calendar and agree on coverage with the hire. Record who can answer questions during a US holiday when the annotator is working. Do the same for local leave when the US team remains online.

Which hiring route fits: recruiter, EOR, augmentation or managed team?

Choose the route based on who will find the person, employ them, and manage their output. Ask each provider to name the owner of those duties in the proposal.

A recruiting search does not settle who runs payroll or supervises the hire. An employment arrangement does not define who writes the rubric. Put those duties in the agreement.

When comparing AI recruitment companies, ask who will assess the candidate's annotation work. A recruiter may run the search while your team owns the technical judgment. Budget reviewer time accordingly.

For augmentation, assign a US manager before the person starts. That manager should own task priority and answer rubric questions. For a managed team, ask to inspect the proposed review process before agreeing to a delivery target.

Define how you accept completed work

Define what makes a batch acceptable. Require traceable item IDs and a way to record disputed decisions. Agree on how corrected instructions affect work already completed.

Ask who pays for rework and how errors are classified. Separate an annotator's missed instruction from a buyer's changed instruction. Otherwise, the same batch can become a recurring argument about quality and scope.

If pricing is based on completed tasks, define a completed task. Explain how ties, escalations, and rejected items are counted. If pricing is monthly, agree on the working schedule and how review duties fit within it.

Set the hiring clock before comparing timelines

Ask every provider what starts and ends its hiring clock. Candidate presentation, offer acceptance, and the first day worked are separate milestones.

SHRM describes median time-to-fill in 2025 as roughly a month and a half, measured from job requisition to offer acceptance. That is a broad recruiting benchmark, not an RLHF-specific start-date promise. SHRM recruiting benchmark

Build your own schedule around the steps you control. Reserve time for the paid trial and reviewer feedback. Confirm access setup and the candidate's availability before committing to a production deadline.

Prepare the first batch before the hire starts

Start with a bounded queue that the manager can review promptly. Give the hire the current rubric and show where decisions about disputed cases are recorded. Keep the rubric version with each batch so later reviewers can understand which instructions applied.

Review the first submissions before assigning a larger queue. When you find a repeated error, explain the rule with an example and check the next submission. If the instruction itself was unclear, correct it for everyone doing that task.

Ask the hire to keep unresolved questions in a shared log. Give each question an owner and a decision. This creates a record that a replacement or new reviewer can use without repeating the same debate.

Under the Opus model, the client chooses the finalist and manages day-to-day work. Opus pricing

That makes an internal work owner part of the buying decision. Name that person, prepare the trial, and define the shared hours before requesting candidates. Send the role scope with a sample rubric so the search starts with a testable job.

Talk to Opus about an RLHF annotator role.

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