Description review

CRM Operations Specialist

micro1 · Remote · back to the listing

HR standards

60/100

needs work

Title ↔ description

59/100

needs work

Reads as

Unclear

no confident match

What this role officially is

ICT business analyst — ESCO, the EU occupation classification

ICT business analysts are in charge of analysing and designing an organisation's processes and systems, assessing the business model and its integration with technology. They also identify change needs, assess the impact of the change, capture and document requirements and then ensure that these requirements are delivered whilst supporting the business through the implementation process.

Also known as: ICT business analysts, business process specialist, IT business analyst

How others title the same work

Startups

  • Business Operations Associate AtoB
  • Mid Product Analyst (Identity & Orchestration) Authologic
  • Strategic Projects Associate Corgi Insurance

What the listing never says

  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

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.

Role Title: CRM Operations Specialist

Role Type: Contractor

Location: Remote

micro1 is engaging CRM Operations Specialists to support a customer project focused on optimizing sales and customer relationship management processes. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. For this engagement, domain expertise is essential, but prior paid experience with human data work for AI models — including data labeling, annotation, RLHF, AI response evaluation, model evaluation, or rubric-based grading — is also required. Please note that simply using AI tools like ChatGPT in your day-to-day work does not fulfill this requirement.

Scope of Work

• Evaluate AI-generated output on CRM workflows, sales processes, and automation logic for accuracy and alignment with real-world business practices.

• Review, analyze, and annotate CRM data, records, and user interactions to advance AI training objectives.

• Apply written guidelines and rubrics consistently when rating or ranking model responses, and flag cases beyond current guidelines.

• Contribute representative examples, scenarios, and feedback grounded in best practices for CRM operations and sales enablement.

• Document current sales operations practices, noting pain points and opportunities for meaningful process improvement.

• Deliver clear, actionable written feedback to project stakeholders and model development teams.

Preferred Qualifications

• 3+ years of hands-on experience in CRM and sales operations, with at least 2 years directly in CRM platforms.

• Proven expertise with Salesforce or HubSpot — depth in one is sufficient, and comparable CRM experience is acceptable.

• Proficiency with additional platforms such as Close, Apollo, Salesloft, Intercom, Freshdesk, Shopify, Crayon, or ClickFunnels is highly valued.

• Demonstrated ability to optimize sales processes, implement automations, and maintain CRM data integrity.

• Strong analytical skills and attention to detail in complex business workflows, including process mapping.

• Prior paid human data work supporting AI (annotation, labeling, RLHF, AI response/model evaluation, or rubric-based grading) — this is a firm project requirement.

• Experience as a software or QA engineer working on CRM integrations, automation, data migrations, or testing CRM logic is a plus but not essential.

• Strong written and verbal English (B2 level or above)

• Reliable internet connection and availability to begin promptly.

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 64 before penalties). Reviewed 21 Sep 2026.