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HR & Recruiting Fine-Tuning Dataset

Job descriptions, interviews, candidate communication, and onboarding.

Fine-tune a model on this dataset

$29 for the dataset. Training is priced separately by model, starting at $47.

What is in this dataset

690 instruction-response pairs covering job descriptions, interviews, candidate communication, and onboarding. Each pair is a realistic question with a full written answer, in the JSONL format used for supervised fine-tuning. No synthetic filler, no duplicated rows.

Example pairs

Real rows from the dataset, shown in full.

Write a job description for a Senior Software Engineer role at a fintech startup that emphasizes both technical skills and regulatory compliance.

**Job Title:** Senior Software Engineer (Fintech) **Location:** Remote (US-based preferred) **Type:** Full-time **About Us:** [Company Name] is a fast-growing fintech startup building scalable payment solutions. We prioritize security, compliance, and innovation. **Role Overview:** You will design and implement core backend systems, ensuring adherence to financial regulations (e.g., PCI-DSS, SOC 2). Collaborate with product and compliance teams. **Responsibilities:** - Develop, test, and deploy high-volume transaction processing systems. - Maintain audit trails and data encryption standards. - Participate in code reviews and architectural decisions. - Mentor junior engineers on secure…

Create five interview questions for a Marketing Manager position that assess strategic thinking, data analysis, and team leadership.

Here are five structured interview questions for a Marketing Manager role, each targeting a specific competency: 1. **Strategic Thinking:** "Describe a time you developed a marketing strategy that required balancing short-term goals with long-term brand positioning. What trade-offs did you make, and how did you measure success?" - *Look for:* Clear rationale, data-driven decisions, and adaptability. 2. **Data Analysis:** "Walk me through an example where you used customer or campaign data to identify an underperforming channel. What metrics did you analyze, and what changes did you implement? What was the impact?" - *Look for:* Ability to extract insights, test…

Draft an email to a candidate to schedule an interview for a Data Analyst role, including options for time and a request for a portfolio sample.

Subject: Interview Invitation – Data Analyst Position Hi [Candidate Name], Thank you for applying for the Data Analyst role at [Company Name]. We were impressed by your background and would like to invite you to an interview. We have the following 60-minute slots available next week (all times in [Timezone]): - Tuesday, [Date], 10:00 AM or 2:00 PM - Thursday, [Date], 11:00 AM or 3:30 PM Please reply with your preferred time, and I’ll send a calendar invite with video conference details. Additionally, we’d appreciate it if you could share a sample of your work (e.g., a data dashboard, report, or SQL query) that demonstrates your analytical skills. This helps us tailor the conversation…

Who this is for

Recruiting tools writing job posts, interview questions, and candidate emails.

Which models this works with

The dataset is plain JSONL, so it works with any instruction-tuned open model. On Rebiha you can train it directly on:

Training uses LoRA, or QLoRA on a 4-bit base for larger models. Your base model's weights are never modified — training produces a separate adapter.

How it works

  1. Pick this dataset and a base model.
  2. Rebiha runs the job on a managed GPU. You set up nothing.
  3. Download your model: a ready-to-run GGUF, plus developer assets (adapter, tokenizer, configs).

Fine-tuning or RAG?

Use RAG when the model needs facts that change — your prices, your documents, today's inventory. Use fine-tuning when you want consistent style and structure without prompting for it every time. This dataset teaches the shape of a good answer in this domain, not facts to look up.

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