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
How others title the same work
Large employers
- Data Scientist - Algorithms, Community Support Airbnb
- Data Scientist - Inference, Community Support Airbnb
- Senior Data Scientist, Guest & Host Airbnb
- Senior Data Scientist, Trust (Inference) Airbnb
- Data Scientist, Analytics (Technical Leadership) Meta
Startups
- Amplify Renewables | Quantitative Researcher | SF / Seattle / US | Hybrid (Remote Possible) | Full-Time | $200k - $375k (all cash) Amplify Renewables
- Senior Data Scientist BoldVoice
- Senior Research Neuroscientist ANORIA
- Quantitative Associate Corgi Insurance
- Senior Data Scientist Coulomb AI
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
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