Hire Feed is Hiring for Frontend Developer Role. All the Candidates who completed Bachelor’s Degree are eligible. Interested Candidates can read the following Details and Apply for this role.
Job Description
- Company Name: Hire Feed
- Job Role: Frontend Developer
- Qualification: Bachelor’s or Master’s Degree
- Location: Remote
- Batch: 2025/2026
- Experience: Freshers (0-1 years)
- Salary: Upto 6 LPA (Expected)
- Last Date: As soon as possible.
Job Role & Responsibilities
- Develop and maintain responsive web interfaces using Typescript and modern frontend frameworks.
- Collaborate with UI/UX designers to implement pixel-perfect designs and improve user experience.
- Optimize application performance, including load times and rendering efficiency.
- Write clean, maintainable, and well-documented code following best practices.
- Participate in code reviews and contribute to architectural decisions.
Eligibility Criteria
- Experience: 0-1 years
- Degree: Bachelors Degree in Computer Science, Information Technology, or a similar field
- Skills: Proficiency in Typescript and JavaScript with experience in frontend frameworks such as React, Angular, or Vue.js.
- Strong understanding of HTML5, CSS3, and responsive design principles.
- Excellent, at solving unstructured problems independently
- Strong, communicators able to build relationships with key stakeholder
- Problem Solving mindset.
PREFERRED SKILLS
- Intellectually curious, eager to learn new things with an eye towards innovation
- Strategic, able to focus on business goals
- Excellent, at solving unstructured problems independently
- Highly organized, able to prioritize multiple tasks
- Strong, communicators able to build relationships with key stakeholder
- Problem Solving mindset.
ABOUT COMPANY
micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.
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