Question 1

How often are new jobs added?

Accepted Answer

Every minute. We scan thousands of hiring sources in real-time so you see roles as soon as they go live, often hours before they appear on public job boards.Early access = higher odds of getting interviewed.

Question 2

Why can I only view limited per day on the free plan?

Accepted Answer

Free access gives everyone a fair starting point. But seeing every job instantly creates an unfair advantage, so unlimited browsing is reserved for Pro users who want full access to fresh, hidden, and time-sensitive roles.
Limiting free browsing also prevents automated scraping by competitors.

Question 3

What sources do you pull jobs from?

Accepted Answer

We aggregate from:
- company career pages
- startup platforms
- ATS systems (Greenhouse, Lever, Ashby, Workable, etc.)
- niche regional job boards
- hidden talent networks not indexed by Google
Over 50,000 sources → one unified feed.

Question 4

Are these jobs legitimate?

Accepted Answer

Yes. We automatically remove:
- expired listings
- spam
- shady postings
- duplicates
- fake "ghost jobs"
Every job you see is active, real, and verified at the source.

Question 5

What’s the benefit of upgrading to Pro?

Accepted Answer

Pro gives you an information advantage. You unlock:
- unlimited job browsing
- real-time alerts for your saved filters
- early access to newly discovered roles
- deeper filtering (salary, remote, visa, experience, etc.)
- access to hidden sources most job seekers never find
Pro users consistently apply earlier and get significantly higher interview rates.

Question 6

Can I filter by location, experience, remote, or salary?

Accepted Answer

Yes and Pro unlocks the power filters job boards don’t show you, including:
- roles posted in the last 24 hours
- company ATS only
- startup-only sources
- remote-flex categories
- international roles by timezone

Question 7

Why are early alerts so important?

Accepted Answer

Most job applications pile up within the first 6–12 hours after posting. If you apply early, you skip the crowd and rank higher in recruiter screening.
Our alerts give you that timing advantage.

Question 8

Do you show salary?

Accepted Answer

If the employer provides it, yes.
If not, we attempt to estimate using salary bands from public and private datasets (Pro only).

Question 9

Is DayOneJobs suitable for senior roles too?

Accepted Answer

Yes.
We cover all roles, from internships to senior-level. Filters simply let you tailor your feed to your level.

Analyst/ Associate, GenAI Evaluator Specialist, Regional CSH, Group COO

Role Overview

This role is instrumental in enhancing the accuracy and effectiveness of our Generative AI models by building a robust knowledge base, evaluating AI responses, and ensuring the delivery of high-quality interactions with customers.

Key Responsibilities:

To consistently meet and exceed the Customer Centre targets set (KPI) without compromising on quality of service delivery.

Enhance Generative AI Accuracy:

Build and curate a comprehensive knowledge base to serve as a foundation for the Generative AI model.

Evaluate and analyse AI-generated responses to identify areas of improvement and optimize accuracy.

Response Analysis and Evaluation:

·Analyze the quality of AI-generated responses, ensuring they align with company standards and customer expectations.

Collaborate with the AI Development team to implement necessary adjustments to improve response quality.

Safety Scenario Establishment:

Develop and implement safety scenarios to mitigate the risk of inappropriate or sensitive AI responses, maintaining ethical and responsible AI interactions.

Data Set Maintenance:

Curate and maintain data sets across various platforms to ensure a diverse and clean input for the Generative AI model.

Regularly update and refine data sets to reflect evolving language trends and user preferences.

Knowledge Base Updates:

Perform updates to the knowledge base, integrating the latest product information, industry updates, and relevant content.

Ensure accuracy and relevance of information provided by collaborating with product owners and subject matter experts. Demand Analysis: ·

Analyze customer interactions (e.g call recordings, call summarizations) to identify emerging demand topics and customer preferences.

Provide insights and recommendations to the AI Project Manager for enhancing AI-generated responses in response to these demands. Collaboration with Product Owners:

Maintain effective communication channels with product owners to continuously enhance the knowledge base and refine AI responses.

Actively gather feedback to improve the accuracy and relevance of AI interactions. Product Knowledge & Call Handling Trained

To consistently meet and exceed the Customer Centre targets set (KPI) without compromising on quality of service delivery.

Requirements:

3-5 years’ experience in Customer Care Environment

For Internal Candidates, minimally dual-trained with 2 years of experience.

Basic understanding of prompt engineering, data pre-processing, and data ingestion techniques in the context of Generative AI systems.

Possess an analytical mindset to identify key performance metrics and evaluate the success of Gen AI initiatives.

Excellent skills in managing stakeholders and creative problem-solving.

Clearly convey complex technical concepts to both technical and non-technical stakeholders.

Strong planning and organizational skills.

Foster strong relationships and teamwork to achieve collective goals.

Excellent communication skills to collaborate effectively with cross-functional teams.

Meticulous with the ability to maintain organized and diverse data sets.

Strong proficiency in MS Office (Word, Excel, Project and PowerPoint)

Data Analytics Skills Required

Good knowledge of DBS Products and Services

Analyst/ Associate, GenAI Evaluator Specialist, Regional CSH, Group COO

Role OverviewThis role is instrumental in enhancing the accuracy and effectiveness of our Generative AI models by building a robust knowledge base, evaluating AI responses, and ensuring the delivery of high-quality interactions with customers.

Key Responsibilities:

To consistently meet and exceed the Customer Centre targets set (KPI) without compromising on quality of service delivery.

Enhance Generative AI Accuracy:

Build and curate a comprehensive knowledge base to serve as a foundation for the Generative AI model.

Evaluate and analyse AI-generated responses to identify areas of improvement and optimize accuracy.

Response Analysis and Evaluation:

·Analyze the quality of AI-generated responses, ensuring they align with company standards and customer expectations.

Collaborate with the AI Development team to implement necessary adjustments to improve response quality.

Safety Scenario Establishment:

Develop and implement safety scenarios to mitigate the risk of inappropriate or sensitive AI responses, maintaining ethical and responsible AI interactions.

Data Set Maintenance:

Curate and maintain data sets across various platforms to ensure a diverse and clean input for the Generative AI model.

Regularly update and refine data sets to reflect evolving language trends and user preferences.

Knowledge Base Updates:

Perform updates to the knowledge base, integrating the latest product information, industry updates, and relevant content.

Ensure accuracy and relevance of information provided by collaborating with product owners and subject matter experts. Demand Analysis: ·

Analyze customer interactions (e.g call recordings, call summarizations) to identify emerging demand topics and customer preferences.

Provide insights and recommendations to the AI Project Manager for enhancing AI-generated responses in response to these demands. Collaboration with Product Owners:

Maintain effective communication channels with product owners to continuously enhance the knowledge base and refine AI responses.

Actively gather feedback to improve the accuracy and relevance of AI interactions. Product Knowledge & Call Handling Trained

To consistently meet and exceed the Customer Centre targets set (KPI) without compromising on quality of service delivery.

Requirements:

3-5 years’ experience in Customer Care Environment

For Internal Candidates, minimally dual-trained with 2 years of experience.

Basic understanding of prompt engineering, data pre-processing, and data ingestion techniques in the context of Generative AI systems.

Possess an analytical mindset to identify key performance metrics and evaluate the success of Gen AI initiatives.

Excellent skills in managing stakeholders and creative problem-solving.

Clearly convey complex technical concepts to both technical and non-technical stakeholders.

Strong planning and organizational skills.

Foster strong relationships and teamwork to achieve collective goals.

Excellent communication skills to collaborate effectively with cross-functional teams.

Meticulous with the ability to maintain organized and diverse data sets.

Strong proficiency in MS Office (Word, Excel, Project and PowerPoint)

Data Analytics Skills Required

Good knowledge of DBS Products and Services

Role Overview

This role is instrumental in enhancing the accuracy and effectiveness of our Generative AI models by building a robust knowledge base, evaluating AI responses, and ensuring the delivery of high-quality interactions with customers.