Data Labeling Specialist

Greetings from Synergy Resource Solutions www synergyresource co in a leading HR Consultancy Firm Our client company operates within the Industrial Intelligence sector focusing on enhancing operational efficiency and safety in complex industrial environments Their solutions bridge the gap between physical assets and digital systems enabling real-time data-driven decision-making Position Data Labeling Specialist Machine Learning Experience - 6 years minimum 2 years relevant experience Location - Anywhere in India Remote Qualification High school diploma or equivalent Very Good understanding of engineering drawings or technical diagrams Associate degree or certificate in engineering drafting or related technical field Familiarity with P ID symbols components and conventions valves pumps instruments piping Experience in process industries oil gas chemical manufacturing utilities Communicate skills required for this role Strong verbal and written communication skills in English for effective collaboration across teams Office Timing Working Days Week Details Regular business hours in India Fixed CTC 50000 - 70000 INR monthly About the role Data Labeling Specialist Machine Learning We are looking for a detail-oriented and methodical Data Labeling Specialist to support the development of machine learning models You will play a crucial role in preparing high-quality accurately labeled datasets that train and validate our AI systems used for interpreting engineering diagrams process data and industrial information models This position is ideal for someone with strong attention to detail patience and a passion for working with structured and visual data Responsibilities Accurately label and annotate visual and textual data e g symbols equipment lines and relationships used to train ML models Work closely with ML engineers to understand labeling guidelines edge cases and model requirements Follow established labeling protocols and ontology structures to maintain consistency across datasets Review validate and perform quality control on labeled datasets to ensure accuracy and completeness Identify and report data quality issues or ambiguities in source data and propose improvements Use internal or third-party annotation tools e g CVAT Label Studio SuperAnnotate to perform labeling tasks Maintain detailed documentation of labeling processes and contribute to continuous improvement of annotation standards Maintain detailed documentation of labeling decisions conventions and exceptions to ensure reproducibility and consistency Contribute to continuous improvement of labelling accuracy tooling and overall dataset quality Required Skills Hands-on experience interpreting P ID diagrams - either through previous roles in data labeling engineering support drafting or technical documentation Familiarity with ISA ISO P ID standards e g ISA-5 1 ISO 14617 Ability to identify and categorize P ID components consistently including instrument loops signal lines and control systems Understanding of process flow and interconnections - can infer functional relationships between components Preferred Skills Deep familiarity with P ID structures and industrial system logic Can help define and refine labeling guidelines and ontologies used for ML training Experience working with engineering data standards or digital twin systems Comfortable liaising with ML engineers and process engineers to ensure annotations reflect real-world process semantics Benefits They offer paid Indian public holidays as well as unlimited paid time off after candidate s first 3 months of work Fully Remote - They value work life balance and trust They are happy to offer the flexibility to allow team members to work from home Flexible Time Off - They have unlimited time off after initial 3 months and paid public holidays They want their employees to rest and recharge and be their best selves Great Culture - It is a welcoming place to work with team members that support and lift each other In their 2025 annual review cycle 58 out of 59 employees reported they would recommend them as a great place to work Candidates having matching experience qualification can share their updated resume with details of their present salary expectations notice period