Description review

AI Solutions Architect

Broadcastwell · United States · back to the listing

HR standards

76/100

solid

Title ↔ description

45/100

poor

Reads as

Data Scientist

98% confident

What this role officially is

data scientist — ESCO, the EU occupation classification

Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.

Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist

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What the listing never says

  • 17 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

Open. Remote, United States. Full time.

Broadcastwell measures how AI engines answer buyer questions, and everything the company sells depends on that measurement surviving being checked. This role owns the reliability and reproducibility of the measurement: clear scoring rules, traceable citations and datasets that readers can check.

Responsibilities

• Own the scoring rules applied to every observed answer, and keep them written down on the methodology page.

• Design how each measurement run is recorded so every citation traces back to the answer it came from.

• Turn research requirements into a measurement design the team can repeat on the next volume.

• Prepare the datasets and analysis deposited with each published research volume.

• Decide when a result is solid enough to publish and when a limitation has to be stated beside it.

• Review client measurement before findings reach the client.

What we look for

• Five or more years of experience building production systems.

• Working depth in Python, system design and data pipelines.

• Hands-on work evaluating large language model output.

• A piece of analysis or evaluation you shipped that someone else could rerun.

• Eligibility to work in the United States without visa sponsorship.

Where and how

• Remote only, hiring in the United States. Relocation is allowed.

• Broadcastwell is a team of consultants and engineers. Sairam Sivakumar, Founder, is accountable for every order.

• Hours are flexible within US time zones, and work is judged on output.

How the work is measured

• Published figures can be recomputed by anyone from the deposited data and analysis code.

• The same question and engine pair scores the same way under the published rules on every run.

• Client findings rest on measurement that holds up when the client checks the receipts.

Pay and terms: $140k to $190k a year, full time, no equity. These are the bands as posted on Wellfound.

Apply on the role page:

Broadcastwell LLC is an equal opportunity employer. Every application is read by a person.

Originally posted on Himalayas

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 4 points (from 80 before penalties). Reviewed 30 Sep 2026.