4 Observer Research Foundation jobs in India

**Legal Research Officer or Research Officer**

**TrustLaw, Thomson Reuters Foundation**

**About the Thomson Reuters Foundation**

Join a team which leverages media, legal and data-driven expertise to strengthen independent journalism, enable access to the law and promote responsible business. The Thomson Reuters Foundation is an independent charity that uses media, law, and data expertise to promote free, fair, and informed societies. Our mission is to empower key actors to make informed decisions that positively impact people, society, and the environment.

**What We Do**
- Deliver targeted programs, research, news, and legal support to strengthen independent journalism and promote responsible business.
- Provide capacity-building initiatives to support our mission.

**TrustLaw**

TrustLaw is the global pro bono service of the Thomson Reuters Foundation which connects high-impact NGOs, social enterprises, and independent media with free legal assistance from top law firms and corporate legal teams worldwide. We also:

- Conduct groundbreaking legal research on key social and policy issues.
- Run strategic initiatives, including:

- TrustLaw Index of Pro Bono, (a global benchmark survey).
- Fees and Hours collection (an annual survey on pro bono work).

**About the Role**

The Foundation is recruiting a highly skilled **Legal Research Officer/ Research Officer, TrustLaw**to work with the Access to Law team to support partner engagement, data analysis and report writing and the design, coordination and successful delivery of global initiatives for our legal network. This role involves balanced responsibility across two core areas:
(1) dedicated support for the TrustLaw Index of Pro Bono (approximately 50% of time), and

(2) broader Global Legal Team initiatives and programmes (approximately 50% of time).

**About the Role**:
As a Legal Research Officer/ Research Officer reporting into the Legal Manager, Global (based in London), you will:
**TrustLaw Index of Pro Bono (50%)**
- Provide dedicated support for the TrustLaw Index of Pro Bono, our global biennial benchmark survey of the scale and trends of the pro bono legal sector, including:

- Work with the Legal Manager, Global and other stakeholders to develop and make refinements to the survey every two years, taking account of current or future pro bono sector needs and trends
- Run the data collection process and related legal sector engagement to ensure strong engagement with and participation in the survey
- Manage, clean, and analyse complex data sets from participating law firms and legal teams across multiple jurisdictions
- Work with data analysts to ensure high-quality data analysis and to identify emerging trends in the data sets
- Draft and develop the report in an easy-to-read, engaging style based on quantitative and qualitative analysis of the data
- Work with Communications and other teams to develop a sustained, exciting communications strategy to engage the TrustLaw team and broader legal pro bono community in the findings of the Index
- Work closely with the Legal Manager, Global and others throughout the lifecycle of the Index from planning and kick-off, to supporting project management and successful delivery.

**Global Legal Initiatives and Team Support (50%)**
- Support the work of the Legal Manager, Global to track the pro bono sector, identify opportunities and gaps, and support with the development of initiatives, trainings and resources to address them.
- Support collaboration with regional teams to ensure alignment between global and regional legal initiatives.
- Support our work to develop, refine and manage resources geared to the legal pro bono sector, such as our Championing Pro Bono Guide, Measuring Pro Bono Impact, the Global Pro Bono Survey, the UK Collaborative Project (UKCP) and Global Corporate Pro Bono resources.
- Support the work of the Legal Manager, Global, and Senior Leadership Team within TrustLaw in engaging with key legal partners, including by obtaining data and feedback to develop pro bono impact reports and supporting with the TrustLaw Giving Programme.
- Liaise with the Foundation’s Communications, Digital and Design teams to ensure strong communications and engagement and smooth development of digital assets to showcase global initiatives.
- Provide cover support to the Programme Coordinator, Global as needed during periods of leave, ensuring continuity of global legal team operations.
- Contribute to other Access to Law team initiatives and research, as needed.
- Please note that this role requires you to work hours that overlap significantly with core team availability, which may require at least two late shifts each week. _

**About You**:
This role is all about using the power of data to drive access to law through better and stronger legal pro bono practices. You are a fit for the role of Legal Research Officer/ Research Officer if your background includes most or all of the following:

- An exception

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Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

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About the job

As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.

You will have a deep expertise in video generation model architectures with a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: data curation, strengthening baselines, identifying and resolving existing pre-training bottlenecks to push the limits of model performance.

Responsibilities

• Pioneer multimodal and video-centric research that moves fast and breaks ground, contributing directly to usable prototypes and scalable systems.

• Design and implement novel AI architectures for multimodal language models, integrating text, visual, and audio modalities.

• Engineer scalable training and inference pipelines optimized for large-scale multimodal datasets and distributed GPU systems across thousands of GPUs.

• Optimize systems and algorithms for efficient data processing, model execution, and pipeline throughput.

• Build modular tools for preprocessing, analyzing, and managing multimodal data assets (e.g., images, video, text).

• Collaborate cross-functionally with research and engineering teams to translate cutting-edge model innovations into production-grade solutions.

• Prototype generative AI applications showcasing new capabilities of multimodal foundation models in real-world products.

• Develop benchmarking tools to rigorously evaluate model performance across diverse multimodal tasks.

• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience

• Expertise in Python & Pytorch, including practical experience working with the full development pipeline from data processing & data loading to training, inference, and optimization.

• Experience working with large-scale text data, or (bonus) interleaved data spanning audio, video, image, and/or text.

• Direct hands-on experience in developing or benchmarking at least one of the following topics: LLMs, Vision Language Models, Audio Language Models, generative video models .

Nice to have skills:

• PhD in Computer Vision, Machine Learning, NLP, Computer Science, Applied Statistics, or a closely related field

• Demonstrated expertise in computer vision, video generation foundation model and/or multimodal research.

• First-author publications at leading AI conferences such as CVPR, ICCV, ECCV, ICML, ICLR, NeurIPS etc.

Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

• Apply only through our official channels.  We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: 

• Verify the recruiter’s identity.  All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.

• Be cautious of unusual communication methods.  We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.

• Double-check email addresses.  All communication from us will come from emails ending in @ tether.to or @ tether.io

• We will never request payment or financial details.  If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing.

Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job

As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.

You will have a deep expertise in video generation model architectures with a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: data curation, strengthening baselines, identifying and resolving existing pre-training bottlenecks to push the limits of model performance.

Responsibilities

• Pioneer multimodal and video-centric research that moves fast and breaks ground, contributing directly to usable prototypes and scalable systems.

• Design and implement novel AI architectures for multimodal language models, integrating text, visual, and audio modalities.

• Engineer scalable training and inference pipelines optimized for large-scale multimodal datasets and distributed GPU systems across thousands of GPUs.

• Optimize systems and algorithms for efficient data processing, model execution, and pipeline throughput.

• Build modular tools for preprocessing, analyzing, and managing multimodal data assets (e.g., images, video, text).

• Collaborate cross-functionally with research and engineering teams to translate cutting-edge model innovations into production-grade solutions.

• Prototype generative AI applications showcasing new capabilities of multimodal foundation models in real-world products.

• Develop benchmarking tools to rigorously evaluate model performance across diverse multimodal tasks.

• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience

• Expertise in Python & Pytorch, including practical experience working with the full development pipeline from data processing & data loading to training, inference, and optimization.

• Experience working with large-scale text data, or (bonus) interleaved data spanning audio, video, image, and/or text.

• Direct hands-on experience in developing or benchmarking at least one of the following topics: LLMs, Vision Language Models, Audio Language Models, generative video models .

Nice to have skills:

• PhD in Computer Vision, Machine Learning, NLP, Computer Science, Applied Statistics, or a closely related field

• Demonstrated expertise in computer vision, video generation foundation model and/or multimodal research.

• First-author publications at leading AI conferences such as CVPR, ICCV, ECCV, ICML, ICLR, NeurIPS etc.

Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

• Apply only through our official channels.  We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: 

• Verify the recruiter’s identity.  All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.

• Be cautious of unusual communication methods.  We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.

• Double-check email addresses.  All communication from us will come from emails ending in @ tether.to or @ tether.io

• We will never request payment or financial details.  If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.