expertise / linguistics

Linguistic annotation services. Labels by linguists, not guesswork.

Language models are fluent in the varieties they saw most and brittle everywhere else. eeko commissions credentialed linguists, phoneticians, and field researchers to produce the transcription, glossing, parsing, and dialect labels those models never got, under a written scheme, with consent and provenance recorded on every item.

Two linguists on every item Consent bound per recording Pilot batch before volume Reply inside one business day
Hero image · 840 × 1050
reviewers per item
2ling
the annotator, then a second linguist
first delivery
1pilot
a paid pilot batch before any volume order
delivery formats
6fmt
JSON Lines, CSV, Parquet, WebDataset, COCO, Croissant
reply time
1day
a data lead, not an autoresponder

What are linguistic annotation services?

Linguistic annotation services turn raw speech and text into data that carries its own structure: an IPA transcription with tone and stress, a word segmented into morphemes and glossed, a sentence parsed into a tree, a passage tagged for the dialect and register of the person who produced it. The labels are the product. They are what lets a model learn that two surface forms share a root, that a rising contour changes meaning, or that a regional feature is a feature and not a mistake.

Most of this work has historically been done by graduate students on a grant, or by general transcription vendors who were never asked to tell a glottal stop from silence. The first runs out of funding; the second produces labels that look complete and are quietly wrong. Neither leaves a record of who decided what, and neither answers the question a legal team will eventually ask: did the speaker agree to this use?

eeko's data practice exists because the models we deploy for regulated enterprises depend on data nobody has published. For language, that means linguists with the right training, a scheme written down before the first item is labeled, a second linguist checking the first, and a verifiable record on every recording and every label. It is one field within our AI training data practice, and it feeds directly into our speech and audio datasets and multilingual datasets.

Annotation tiers image · 2100 × 900
One recording, four tiers: audio, narrow IPA, morpheme gloss, and variety tags, each with the linguist who produced it and the linguist who confirmed it.

Linguistic data for AI, layer by layer.

Six kinds of work, each scoped to a written scheme and proven on a pilot batch. Combine them or order one layer on data you already hold.

01 / phoneticsCORE
IPA transcription of consented speech
Broad or narrow transcription in the International Phonetic Alphabet, with stress, tone, length, and prosodic boundaries marked and time-aligned to the recording. Transcribers are phoneticians, not typists with a symbol chart.
02 / morphologyCORE
Segmentation and interlinear glossing
Words split into morphemes and glossed line by line, following Leipzig conventions or a scheme you supply. Built for agglutinative and polysynthetic languages where subword tokenizers do the most damage.
03 / syntaxCORE
Treebanks and syntactic annotation
Dependency or constituency parses produced by syntacticians, including for free word order languages and for languages that have no treebank yet. Guidelines are written first so two annotators arrive at the same tree.
04 / meaningEVAL
Semantic and pragmatic labels
Reference, implicature, politeness, and speech act annotation for the passages a literal reading gets wrong. Also used to grade model outputs: did the system understand what was meant, or only what was said?
05 / variationCORE
Dialect, variety, and register labels
Speech and text tagged for regional variety, social register, and the specific features present, by sociolinguists who know the varieties. The result is a model that stops correcting speakers who were never wrong.
06 / low-resourceFIELD
Low-resource language corpora
New recordings and texts in languages with little or no published data, gathered from consenting speakers and transcribed and glossed by linguists with documentation experience. Recorded, not scraped, through our data capture sessions.

What a speech and language model never learned.

The gaps are predictable. They appear wherever structure is dense and published data is thin, and no amount of scraped web text fills them.

Fieldwork image · 1200 × 900
A recording session with a consenting speaker, the release signed before the recorder starts.

Five failures a linguist catches on sight

  • Tokenizers against morphology — a single polysynthetic word becomes a dozen meaningless fragments, and the model never sees the root it shares with its neighbors.
  • Tone and stress dropped — transcription that ignores pitch collapses distinct words into one, so the model learns a language that does not exist.
  • Variation treated as error — a model trained on the standard variety flags a regional speaker as ungrammatical and quietly rewrites them.
  • Literal pragmatics — an indirect request, a hedge, or a politeness formula is read at face value and the response misses the point.
  • Scheme drift — three annotators, three conventions, one corpus that disagrees with itself. The labels look complete and train nothing.

The fix is the same each time: the right specialist, a written scheme, and a second linguist.

Consent, provenance, and review on every recording.

A voice is personal data and a transcription is a judgment call. Both need a record that survives an audit, a licence negotiation, or a speaker's question a year later.

Consent bound to the item

Every recording and every text carries the consent and release that permits its use, attached at intake and recorded per item rather than per batch. If a speaker withdraws, we can find every item that depends on their permission.

Fingerprinted and deduplicated

Audio receives an acoustic fingerprint and a cryptographic hash the moment it arrives, then a duplicate and near-duplicate check across the corpus. Text is screened for personal details, which are masked before a linguist opens the file.

Provenance on every label

Every label is tagged with its origin, whether the annotator, a model suggestion, or the reviewing linguist, inside a hash-chained trail. Delivery closes with a signed receipt that names each item by identifier and hash. The full method is on our verified human data page.

Paid remote work for linguists, in your subfield.

The eeko expert network pays linguists to do the analysis they were trained for: transcribe, gloss, parse, describe variation, and review a colleague. Rate, scope, and deadline are stated on every job before you accept it.

who we look for
Trained analysts, not general transcribers

You do not need every item on this list. One or two, verified, is enough to receive matching jobs.

  • Degree Graduate training in linguistics or a neighboring field
  • Phonetics Confident narrow transcription in the IPA
  • Subfield Syntax, morphology, phonology, semantics, or sociolinguistics
  • Fieldwork Documentation experience with less-resourced languages
  • Languages Native or near-native command beyond English
what the jobs involve
Analysis, to a scheme, with a second pair of eyes

Every job comes with written guidelines and a reviewer. Approved batches are credited to your account and paid out automatically.

  • Transcribe IPA with tone, stress, and prosody, aligned to consented audio
  • Gloss and parse Segment words and annotate sentence structure
  • Label variation Tag dialect, register, and pragmatic features; grade model readings
  • Review Check another linguist's work before it ships

From a language brief to a signed delivery.

Fixed price per accepted item, agreed after the pilot. No volume order until your team has checked real output against the scheme.

STEP 01
Scope
Language, variety, annotation layers, source of speech or text, format, and licence terms. A data lead replies inside one business day with questions and a staffing view.
STEP 02
Scheme and pilot
We write or adapt the annotation guidelines, then deliver a paid pilot batch so you can check transcription depth, gloss conventions, and agreement before committing.
STEP 03
Production
Verified linguists work in batches. A second linguist reviews every item, hard cases are adjudicated, and agreement is reported with each delivery.
STEP 04
Delivery
Audio as WebDataset or Parquet, labels as JSON Lines or CSV, Croissant metadata, and a signed receipt listing every item. Standing orders extend the corpus on request.

Linguistic annotation questions.

What is linguistic annotation?

Linguistic annotation adds structured labels to speech or text that describe its sound, form, structure, or meaning: an IPA transcription of a recording, a gloss that splits a word into morphemes, a parse tree for a sentence, or a tag for the dialect a speaker uses. Done by trained linguists under a written scheme, it gives a model structure it cannot infer from raw tokens and gives an evaluation set labels you can trust.

How much do linguistic annotation services cost?

Price depends on the language, the annotation layer, and how much judgment each item needs. Narrow IPA transcription of tonal speech costs more per minute than dialect tagging of short text. We quote a fixed price per accepted item after a short scoping call, confirm it on a paid pilot batch, and hold it for the production order. Items that fail second review are never billed.

Which languages and dialects can you annotate?

Coverage is matched request by request. Each job is scoped by language, variety, and annotation layer, and we assign only linguists whose credentials and language background we have verified for that combination, including less-resourced languages where the annotator may also be documenting the variety. If we cannot staff a language to the standard the scheme demands, we say so during scoping, not after the pilot.

Where do the speech recordings come from?

From speakers who agreed to be recorded for this purpose, in sessions we run or through consented submissions. Consent and any release are attached to each recording before it enters a dataset, each file gets an acoustic fingerprint and a duplicate check on intake, and every label on it records who produced it and who confirmed it. Nothing is scraped.

What qualifications do linguists need to join, and how are they paid?

Most jobs expect graduate training in linguistics or a neighboring field plus demonstrated skill in the layer being annotated. Native or near-native fluency in a less-resourced language, combined with that training, qualifies you for specialist work. Every job lists its rate, scope, 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 a linguistic dataset exclusively?

Yes. Commissioned corpora and annotation layers can be licensed on an exclusive basis, with the scope, term, and exclusivity written into the agreement before work starts. Speech ships as WebDataset or Parquet, annotations as JSON Lines, CSV, or Parquet, each delivery with Croissant metadata and a signed receipt naming every item by identifier and hash.

Tell us the language your model gets wrong.

Send the language, the layer, and the volume. A data lead replies inside one business day with a staffing view, a scheme outline, and a pilot price. Linguists: the application takes ten minutes. No deck. A ranked list.

Experienced within

  • SOC 2 Type II
  • ISO 27001
  • HIPAA
  • HITRUST r2
  • ISO 27701
  • PCI DSS
  • NIST CSF 2.0
  • CMMC
  • FedRAMP
  • GDPR

Markets served.

As an enterprise AI agency, eeko systems delivers production AI systems remote-first across the United States and internationally — including these markets:

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