Description review

Content Moderator with French language

TSMG · France · back to the listing

HR standards

54/100

needs work

Title ↔ description

85/100

strong

Reads as

Unclear

no confident match

What the listing never says

  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
  • No location or timezone policy stated, so a candidate cannot tell where they may work from. 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.

Company description:

Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe.

We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges.

Project objective:

full-time support in content collection and moderation in French language for an 8-week project.

Responsibilities:

• Full-time support in content collection and moderation in French language for an 8-week project.

• The training duration will be of 2 weeks w​ill be billable by the client separately.

• No sensitive or PII content collection or moderation, although graphic content may be possible though unlikely.

• Social media platforms to be covered: Facebook, Instagram, LinkedIn, YouTube, TikTok.

• Agents will access content on client's internal review tool.

• Shift timing will be 5 days a week / 8 hours per day and it will also depend on the team lead."

Requirements:

• One year experience in content collection and content moderation, particularly in misinformation.

• Each participant must be fluent in the language at a C2 level or native to the collection country. Each participant must be fluent in English.

• Each speaker group needs to be located in their respective European countries.

We would be happy to get to know you and your skills better and see how we can support each other's growth.

Please apply and let's meet!

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: 8 points (from 62 before penalties). Reviewed 21 Sep 2026.