Translation training data. Fluent is not the same as right.
A machine translation reads smoothly long before it is correct. eeko commissions working professional translators to write reference translations, correct machine output, mark errors by span and severity, and rank candidates, in your language pairs and your domains, with every segment fingerprinted and every judgment attributed.
What is translation training data?
Translation training data is the paired and judged material a multilingual model learns from: a source segment with a human translation, a machine translation beside the version a professional corrected, an output with its errors marked and graded, or two candidates with a ranking and a written reason. What makes it training data rather than parallel text is the human call attached to each item. Somebody qualified decided this rendering was right, that one dropped a negation, and this term of art was mistranslated.
The open parallel corpora have been mined, aligned, and ingested by every model that matters. They also share a defect: nobody competent checked them. Automatic metrics reward output that sounds natural, so a model can score well while flipping a modal verb, choosing the wrong formality for the reader, or rendering an idiom word for word. The errors are invisible to the people building the system and obvious to a translator in seconds.
That is the gap eeko's data practice fills. We commission translators who work in the pair every day, hold them to a written error typology, put a second translator on every segment, and record who made each judgment. It is one specialism inside our AI training data practice, alongside multilingual datasets and evaluation benchmarks, and it is the same discipline we apply when we deploy multilingual systems for our own enterprise clients.
Translation data for AI, six ways.
Each line of work is defined by pair, direction, domain, and register, then proven on a pilot batch. Order one or combine them on one source corpus.
Machine translation errors a metric cannot see.
Mistakes that pass automated scoring and fail a professional reader. Each is a category in our typology.
Six ways a fluent translation is wrong
- The dropped negation — the sentence reads perfectly and says the opposite of the source.
- The wrong term of art — a word that is correct in general usage and incorrect in a contract, a package insert, or a schematic.
- Formality and gender — a pronoun or register choice that is grammatical and offensive, or simply addressed to the wrong reader.
- The literal idiom — figurative language carried across word by word into nonsense.
- Terminology drift — one concept, three renderings, in a single document.
- Test set leakage — the evaluation sentence was in the training corpus all along, so the score measures memory, not translation.
The first five need a translator. The sixth needs a hash on every segment before anyone translates a word.
Clean splits, clear rights, attributed judgments.
Parallel text travels, a translation carries rights for both its author and its translator, and an evaluation set is worthless if anyone can show it leaked. Each has a record that answers it.
Paid remote AI work for translators, in your pairs.
The eeko expert network pays professional translators to translate, post-edit, annotate, and review, in the language pairs and domains they already work in. Every job shows its rate, scope, and deadline before you take it.
You do not need every item below. Verified experience in a pair plus one domain is enough to start receiving matching jobs.
- Training A degree in translation or languages, or equivalent professional experience
- Experience Several years of paid translation in your pairs
- Credentials Association certification or sworn translator status, where you hold it
- Target language Native command of the language you translate into
- Domain Legal, medical, financial, or technical specialism
Written typology on every job, a second translator on every segment, and approved work credited to your account automatically.
- Translate Reference translations to a brief and glossary
- Post-edit Bring machine output to a publishable standard
- Annotate Mark error spans by category and severity
- Judge and review Rank candidates with a rationale, or review a colleague's segments
From a language pair to a signed delivery.
Fixed unit price agreed on the pilot and held for production. Nothing scales until your team has checked real segments against the typology.
Translation training data questions.
What is translation training data?
Translation training data is paired or judged material a multilingual model learns from: a source text with a human translation, machine output beside a translator's correction, an output with its errors marked by span and severity, or two candidates with a ranking and a reason. The common thread is that a qualified person made the call. Scraped parallel text has none of that, and every model already has it.
How much does translation training data cost?
Cost is set per accepted segment and varies with the language pair, the domain, and the task. A reference translation of a legal clause costs more than a post-edit of marketing copy, and MQM annotation costs more than a simple preference pick. We quote a fixed price for the pilot batch after scoping, and the same unit price carries into production. Segments that fail second review are not billed.
Which language pairs and domains do you cover?
Each request is scoped by pair, direction, domain, and register, and staffed only with translators we have verified for that exact combination. Legal, medical, financial, and technical specialists are requested most often. Because coverage depends on the request, we confirm it during scoping rather than promising it in advance, and the pilot batch is where your team sees real output before any volume is agreed.
How do you keep an evaluation set out of the training data?
Every source segment and translation is hashed on arrival and compared against the corpus for exact and near matches, so the same sentence cannot sit on both sides of the split. Evaluation sets can be held back, licensed to you alone, and independently timestamped, which lets you show the set existed before a model was trained and was never released. The signed receipt lists each segment by hash.
Do translators need to be certified, and how are they paid?
Certification or sworn status helps and is required for some legal and medical jobs, but not for every job. Several years of professional work in your pairs, a target language you speak natively, and a specialist domain also qualify you. Each job states its rate, word count, and deadline before you accept it, there is no quota, and approved batches are credited to your account with payouts after identity and tax verification.
Can we license the translations exclusively?
Yes. Commissioned translations, post-edits, and annotations can be licensed to one buyer, with the scope, term, and exclusivity set out in the agreement before the first segment is translated. Deliveries come as JSON Lines, CSV, or Parquet with Croissant metadata and a signed receipt naming every segment by identifier and hash. A standing order keeps the same translators and typology running as you add pairs.
Related expertise, solutions, and industries.
Send us the pair your model sounds best in.
Tell us the language pairs, the domain, and the task mix. A data lead replies inside one business day with a staffing view, a typology outline, and a pilot price. Translators: the application takes ten minutes. No deck. A ranked list.
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As an enterprise AI agency, eeko systems delivers production AI systems remote-first across the United States and internationally — including these markets: