📋 Job Details at a Glance 📍 Location Remote — India 🏢 Company Appen 👥 Experience 0-2 years 🎓 Qualification Hands-on with AI / LLM agents. Relevant technical / engineering background 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills AI LLM agents reinforcement learning model evaluation data quality measurement LLM pipelines automation workflows Applied AI Research Engineer at Appen — Full Details & How to Apply Appen is seeking an Applied AI Research Engineer for a remote role in India that focuses on building practical AI research assets. This position offers a unique opportunity to engage with cutting-edge technologies and contribute to impactful projects in AI. The role of an Applied AI Research Engineer is increasingly vital in the technology sector as organizations strive to harness AI capabilities for enhanced customer engagement. With the rapid evolution of AI and machine learning, professionals in this field are essential for developing innovative solutions that meet market demands. Appen is a leader in technology solutions, particularly in AI and machine learning. The company is known for its commitment to quality and innovation, making it an ideal environment for aspiring engineers. Joining Appen means being part of a culture that values collaboration and continuous learning. This role is perfect for candidates who are 2022, 2023, 2024, 2025 graduates with hands-on experience with AI / LLM agents and a relevant technical / engineering background . Ideal applicants should have 0-2 years of experience , and while the salary is not disclosed , the potential for growth is significant. As an Applied AI Research Engineer , you will work with essential skills such as reinforcement learning , model evaluation , and LLM pipelines . This role not only enhances your technical expertise but also opens doors to advanced career opportunities in AI and machine learning, positioning you for future success in the industry. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Applied AI Research Engineer at Appen is to innovate and enhance AI systems through practical applications of AI and LLM agents in real-world scenarios. Build reinforcement learning environments for real customer use cases, focusing on task specifications and scoring metrics. Develop benchmarks and evaluation harnesses to measure model evaluation and data quality measurement , ensuring accuracy and robustness. Partner closely with the GenAI Research team to translate technical ideas into practical applications using LLM agents . Run fine-tuning and model experiments to evaluate how data influences model behavior and performance. Deploy local or self-hosted models for evaluation, inference, and automation workflows to enhance operational efficiency. Document processes and improvements related to model evaluation and data quality measurement for future reference. Troubleshoot issues related to model performance and customer-facing applications, ensuring seamless user experiences. This role fosters an ownership culture, allowing you to directly impact the development and success of AI solutions at Appen . Required Skills & Technical Competencies The ideal candidate for the Applied AI Research Engineer position must possess a robust skill profile centered around AI , LLM agents , and reinforcement learning . Technical Skills AI — entry — essential for building and evaluating AI systems in this role. LLM agents — entry — used for developing agentic systems that support research and customer trials. Reinforcement learning — entry — applied in creating environments for real-world use cases. Model evaluation — entry — critical for assessing model performance and ensuring robustness. Data quality measurement — entry — vital for maintaining high standards in model outputs. LLM pipelines — entry — utilized for streamlining the integration of language models into applications. Automation workflows — entry — implemented to enhance efficiency in model deployment and evaluation. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and application of these technologies. Eligibility Criteria This role is designed for candidates with a relevant technical or engineering background, eager to contribute to AI advancements at Appen . Degree in a relevant technical or engineering field. Eligible batches: 2022 , 2023 , 2024 , 2025 . Experience requirement: 0-2 years , welcoming freshers. No specific CGPA requirement mentioned. Portfolio showcasing relevant projects is highly recommended. Documentation & Portfolio Requirements Submit your resume in PDF format, including your educational background, relevant projects, and any experience with AI or LLM agents . Pro tip: Highlight any hands-on experience with reinforcement learning or model evaluation in your application to stand out. Salary for Applied AI Research Engineer at Appen 💰 Compensation Not Disclosed The advertised compensation for the Applied AI Research Engineer role at Appen is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Applied AI Research Engineer Upskilling with the right resources significantly enhances your chances of selection for the Applied AI Research Engineer position at Appen . Recommended Courses & Resources reinforcement learning — This course provides essential insights into reinforcement learning techniques applicable in AI. KodNest — Offers practical experience in building AI systems, crucial for this role. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without showing evidence of hands-on experience with AI or LLM agents — Provide specific examples in your application. ❌ Using a generic resume instead of aligning experience with the specific responsibilities in the job description — Tailor your resume to the job. ❌ Listing technologies like reinforcement learning without demonstrating their application in projects or internships — Include relevant project details. ❌ Ignoring the qualification and experience requirements specified in the posting — Ensure you meet all criteria before applying. ❌ Adding unrelated technologies or unsupported claims to increase ATS keywords — Stick to relevant skills and experiences. ❌ Applying without checking the official Apply URL and verifying the job details before submission — Always confirm job specifics before applying. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that the candidate meets the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to the resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Applied AI Research Engineer Optimizing your resume for ATS is crucial for standing out in the application process for the Applied AI Research Engineer role at Appen . ATS Keywords to Include AI LLM agents Reinforcement learning Model evaluation Data quality measurement LLM pipelines Automation workflows Benchmarks Customer trials Fine-tuning Evaluation harnesses Agent environments Resume Tips for This Role Highlight hands-on experience with AI and LLM agents prominently on the resume. Emphasize familiarity with reinforcement learning and model evaluation technologies. Showcase projects that involved building AI systems or working with LLM pipelines. Use exact relevant JD keywords naturally for ATS alignment without keyword stuffing. Avoid adding unsupported claims or technologies that cannot be substantiated. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated experiences or unsupported claims in your resume for this role. How to Apply for Applied AI Research Engineer at Appen Search Similar Jobs on NexisGrow Open the supplied official Apply URL and confirm the job title and company. Prepare a resume aligned with the supplied skills, responsibilities, qualification, and experience requirement. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if the portal provides one. Record the application date and monitor the official company portal or registered email for updates. Applications reviewed on rolling basis — early submission recommended. Search Similar Jobs on NexisGrow NexisGrow.com does not charge any fees for job applications. Appen Appen was founded in 1996 and has grown to employ over 1,000 employees globally. With its headquarters in Sydney, Australia , the company operates in more than 130 countries , providing a robust global footprint that supports diverse AI initiatives. This extensive reach allows Appen to harness data from various cultures and languages, enhancing its AI solutions. The company specializes in AI training data and has developed platforms such as Appen Data Collection and Appen Annotate . These products are designed to improve machine learning models by providing high-quality, human-annotated data. Additionally, Appen focuses on LLM pipelines and automation workflows, ensuring that its offerings remain at the forefront of AI technology. Appen fosters a collaborative culture that emphasizes teamwork and innovation. The company has received accolades such as the 2021 Great Place to Work certification, reflecting its commitment to employee satisfaction and development. Programs like the Appen Academy provide ongoing training, helping employees enhance their skills in AI and machine learning. Recently, Appen announced a strategic partnership with leading tech firms to enhance its AI capabilities. This initiative aims to expand its offerings in LLM agents and reinforcement learning, positioning the company for future growth. Such developments underscore Appen 's commitment to staying ahead in the rapidly evolving AI landscape. For freshers in technology, Appen serves as a strong career launchpad due to its focus on practical applications of AI. The opportunity to work alongside the GenAI Research team allows new employees to gain hands-on experience with cutting-edge technologies. This exposure, combined with a supportive work environment, makes Appen an ideal place for early-career professionals. Company Details Industry Technology Location Remote — India Connect With Us Careers Apply Now Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Applied AI Research Engineer at Appen? Eligibility Tap to expand + Answer Candidates with Hands-on with AI / LLM agents. Relevant technical / engineering background and 0-2 years experience are eligible. Eligible batches: 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: AI, LLM agents, reinforcement learning, model evaluation, data quality measurement. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: Not Disclosed. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Appen? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the company's official careers page. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Applied AI Research Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of AI, LLM agents, reinforcement learning, model evaluation, data quality measurement, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Appen research, (5) Clear communication. ? What is the work culture like at Appen? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Remote — India Browse all Tech jobs More jobs at Appen Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 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